教育经历
工作经历
研究
为各种模拟体系开发基于深度学习方法的势能，包括碳氢燃料燃烧、RNA催化反应、药物发现和精密医学。
发表文章
Development of Range-Corrected Deep Learning Potentials for Fast, Accurate Quantum Mechanical/molecular Mechanical Simulations of Chemical Reactions in Solution
Jinzhe Zeng, Timothy J. Giese, ̧Sölen Ekesan, Darrin M. York
ChemRxiv, 2021.
DOI: 10.26434/chemrxiv.14120447
Exploring the Chemical Space of Linear Alkane Pyrolysis via Deep Potential GENerator
Jinzhe Zeng, Linfeng Zhang, Han Wang, Tong Zhu
Energy & Fuels, 2021, 35 (1), 762–769.
DOI: 10.1021/acs.energyfuels.0c03211
Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation
Jinzhe Zeng, Liqun Cao, Mingyuan Xu, Tong Zhu, John Z. H. Zhang
Nature Communications, 2020, 11, 5713.
DOI: 10.1038/s41467-020-19497-z
DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models
Yuzhi Zhang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Weinan E
Computer Physics Communnications, 2020, 253, 107206.
DOI: 10.1016/j.cpc.2020.107206
ReacNetGenerator: an automatic reaction network generator for reactive molecular dynamics simulations
Jinzhe Zeng, Liqun Cao, Chih-Hao Chin, Haisheng Ren, John Z. H. Zhang, Tong Zhu
Physical Chemistry Chemical Physics, 2020, 22 (2), 683–691.
DOI: 10.1039/C9CP05091D
Combustion Driven by Fragment-based Ab Initio Molecular Dynamics Simulation
Liqun Cao, Jinzhe Zeng, Mingyuan Xu, Chih-Hao Chin, Tong Zhu, John ZH Zhang
ChemRxiv, 2019.
DOI: 10.26434/chemrxiv.11462160
Understanding the selectivity of inhibitors toward PI4KIII$\alpha$ and PI4KIII$\beta$ based molecular modeling
Shuaizhen Tian, Jinzhe Zeng, Xiao Liu, Jianzhong Chen, John ZH Zhang, Tong Zhu
Physical Chemistry Chemical Physics, 2019, 21 (39), 22103–22112.
DOI: 10.1039/C9CP03598B
Inorganic-Organic Hybrid Tongue-Mimic for Time-Resolved Luminescent Noninvasive Pattern and Chiral Recognition of Thiols in Biofluids toward Healthcare Monitoring
Xin-Yue Han, Zi-Han Chen, Jin-Zhe Zeng, Qian-Xi Fan, Zheng-Qi Fang, Guoyue Shi, Min Zhang
ACS Applied Materials & Interfaces, 2018, 10 (37), 31725–31734.
DOI: 10.1021/acsami.8b13498