Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.
Profile
Nguyen Manh Dan TRAN
Software Developer
Dan Tran is a graduate of the National University of Singapore (NUS) with a Bachelor of Computing in Computer Science and a second major in Mathematics. At CARES, Dan developed natural language question-answering systems for chemistry.
Past Members
Key Publications
Rihm, Simon D., Dan N. Tran, Aleksandar Kondinski, et al. 2025. ‘Natural Language Access Point to Digital Metal–Organic Polyhedra Chemistry in The World Avatar’. Data-Centric Engineering 6: e22. https://doi.org/10.1017/dce.2025.12.
Tran, D., Pascazio, L., Akroyd, J., Mosbach, S., & Kraft, M. (2024). Leveraging Text-to-Text pretrained language models for question answering in chemistry. ACS Omega, 9(12), 13883–13896. https://doi.org/10.1021/acsomega.3c08842
Pascazio, L., Tran, D., Rihm, S. D., Bai, J., Mosbach, S., Akroyd, J., & Kraft, M. (2024). Question-answering system for combustion kinetics. Proceedings of the Combustion Institute, 40(1–4), 105428. https://doi.org/10.1016/j.proci.2024.105428
Quek, Hou Yee, Markus Hofmeister, Simon D. Rihm, et al. 2024. ‘Dynamic Knowledge Graph Applications for Augmented Built Environments through “The World Avatar”’. Journal of Building Engineering 91 (August): 109507. https://doi.org/10.1016/j.jobe.2024.109507.
Kondinski, Aleksandar, Pavlo Rutkevych, Laura Pascazio, et al. 2024. ‘Knowledge Graph Representation of Zeolitic Crystalline Materials’. Digital Discovery, 10.1039.D4DD00166D. https://doi.org/10.1039/D4DD00166D.