Jinzhe Zeng
Affiliations: | 2015-2019 | School of Chemistry and Molecular Engineering | East China Normal University, Shanghai, Shanghai Shi, China |
2019-2025 | Department of Chemistry and Chemical Biology | Rutgers University, New Brunswick, New Brunswick, NJ, United States | |
2025- | School of Artificial Intelligence and Data Science | University of Science and Technology of China, Hefei Shi, Anhui Sheng, China |
Area:
AI for Science; Computational ChemistryWebsite:
http://faculty.ustc.edu.cn/jinzhezeng/Google:
"P7gRtg4AAAAJ"Mean distance: (not calculated yet)
Parents
Sign in to add mentorTong Zhu | research assistant | 2017-2019 | East China Normal University | |
(Undergraduate) | ||||
Darrin M. York | grad student | 2019-2025 | Rutgers, New Brunswick |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Zeng J, Zhang D, Peng A, et al. (2025) DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials. Journal of Chemical Theory and Computation |
Zeng J, Giese TJ, Götz AW, et al. (2025) The QDπ dataset, training data for drug-like molecules and biopolymer fragments and their interactions. Scientific Data. 12: 693 |
Zeng J, Giese TJ, Zhang D, et al. (2025) DeePMD-GNN: A DeePMD-kit Plugin for External Graph Neural Network Potentials. Journal of Chemical Information and Modeling |
Giese TJ, Zeng J, Lerew L, et al. (2024) Software Infrastructure for Next-Generation QM/MM-ΔMLP Force Fields. The Journal of Physical Chemistry. B |
Tao Y, Giese TJ, Ekesan Ş, et al. (2024) Amber free energy tools: Interoperable software for free energy simulations using generalized quantum mechanical/molecular mechanical and machine learning potentials. The Journal of Chemical Physics. 160 |
Zeng J, Zhang D, Lu D, et al. (2023) DeePMD-kit v2: A software package for deep potential models. The Journal of Chemical Physics. 159 |
Zeng J, Tao Y, Giese TJ, et al. (2023) Modern semiempirical electronic structure methods and machine learning potentials for drug discovery: Conformers, tautomers, and protonation states. The Journal of Chemical Physics. 158: 124110 |
Zeng J, Tao Y, Giese TJ, et al. (2023) QDπ: A Quantum Deep Potential Interaction Model for Drug Discovery. Journal of Chemical Theory and Computation |
Giese TJ, Zeng J, York DM. (2022) Multireference Generalization of the Weighted Thermodynamic Perturbation Method. The Journal of Physical Chemistry. A |
Giese TJ, Zeng J, Ekesan Ş, et al. (2022) Combined QM/MM, Machine Learning Path Integral Approach to Compute Free Energy Profiles and Kinetic Isotope Effects in RNA Cleavage Reactions. Journal of Chemical Theory and Computation |