Publications

Research contributions and scholarly publications from our group

29

Total Publications

861

Total Citations

17

H-Index

19

I10-Index

Featured Publications & Editors' Highlights
Selected high-impact publications and editor-highlighted works from our research group
Nature2024

Ab initio characterization of protein molecular dynamics with AI2BMD

Wang, T., He, X., Li, M., Li, Y., Bi, R., Wang, Y., Cheng, C., Shen, X., Meng, J., Zhang, H., Liu, H., Wang, Z., Li, S., Shao, B., & Liu, T. Y.

Nature Communications2024

Enhancing geometric representations for molecules with equivariant vector-scalar interactive message passing

Wang, Y., Wang, T., Li, S., He, X., Li, M., Wang, Z., Zheng, N., Shao, B., & Liu, T. Y.

Editors' Highlights
Nature Computational Science2024

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning

Zhang, H., Liu, S., You, J., Liu, C., Zheng, S., Lu, Z., Wang, T., Zheng, N., & Shao, B.

Nature Machine Intelligence2019

Improved fragment sampling for ab initio protein structure prediction using deep neural networks

Wang, T., Qiao, Y., Ding, W., Mao, W., Zhou, Y., & Gong, H.

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2024

Ab initio characterization of protein molecular dynamics with AI2BMD

Wang, T., He, X., Li, M., Li, Y., Bi, R., Wang, Y., Cheng, C., Shen, X., Meng, J., Zhang, H., Liu, H., Wang, Z., Li, S., Shao, B., & Liu, T. Y. (2024). Nature, 635, 1019-1027.

Nature

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning

Zhang, H., Liu, S., You, J., Liu, C., Zheng, S., Lu, Z., Wang, T., Zheng, N., & Shao, B. (2024). Nature Computational Science, 4(3), 210-223.

Nature Computational Science

Enhancing geometric representations for molecules with equivariant vector-scalar interactive message passing

Wang, Y., Wang, T., Li, S., He, X., Li, M., Wang, Z., Zheng, N., Shao, B., & Liu, T. Y. (2024). Nature Communications, 15(1), 313.

Nature CommunicationsEditors' Highlights

Long-short-range message-passing: A physics-informed framework to capture non-local interaction for scalable molecular dynamics simulation

Li, Y., Wang, Y., Huang, L., Yang, H., Wei, X., Zhang, J., Wang, T., Wang, Z., Shao, B., & Liu, T. Y.International Conference on Learning Representations (ICLR).

International Conference on Learning Representations (ICLR)Top-tier ML

U.S. Patent Application No. 18/687,404

Wang, T., Shao, B., & Liu, T. Y.Patent.

PatentPatent

U.S. Patent Application No. 18/037,682

Wang, T., Shao, B., & Liu, T. Y.Patent.

PatentPatent

Innovative application of a novel di-d-fructofuranose 1, 2': 2, 3'-dianhydride hydrolase (DFA-IIIase) from Duffyella gerundensis A4 to burdock root to improve nutrition

Yu, S., Wang, Z., Li, Q., Wang, T., & Zhao, W. (2024). Food & Function, 15(2), 1021-1030.

Food & Function

2023

Efficiently incorporating quintuple interactions into geometric deep learning force fields

Wang, Z., Liu, G., Zhou, Y., Wang, T., & Shao, B. (2023). Conference on Neural Information Processing Systems (NeurIPS), 36, 77043-77055.

Conference on Neural Information Processing Systems (NeurIPS)Top-tier ML

Geometric transformer with interatomic positional encoding

Wang, Y., Li, S., Wang, T., Shao, B., Zheng, N., & Liu, T. Y. (2023). Conference on Neural Information Processing Systems (NeurIPS), 36, 55981-55994.

Conference on Neural Information Processing Systems (NeurIPS)Top-tier ML

AIMD-Chig: Exploring the conformational space of a 166-atom protein Chignolin with ab initio molecular dynamics

Wang, T., He, X., Li, M., Shao, B., & Liu, T. Y. (2023). Scientific Data, 10(1), 549.

Scientific Data

Showing first 10 publications - Total: 29 publications (2013-2024)