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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 Chemistry
Website:
http://faculty.ustc.edu.cn/jinzhezeng/
Google:
"P7gRtg4AAAAJ"
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Parents

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Tong Zhu research assistant 2017-2019 East China Normal University
 (Undergraduate)
Darrin M. York grad student 2019-2025 Rutgers, New Brunswick
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Publications

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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
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