B.S. in Chemistry, East China Normal University, Sep 2015 - Jul 2019
PhD in Chemistry, Rutgers University, Aug 2019 - Present
Work Experience
Paid Research Volunteer, East China Normal University, Sep 2017 - Jul 2019
Undergraduate Internship Course for 6 Credits, Shanghai Qiaokun Chemical Technology Co., LTD, Sep 2018 - Nov 2018
Summer Research Internship, Beijing Institute of Big Data Research, Jun 2019 - Jul 2019
Fellow, Rutgers University, Sep 2019 - Aug 2020
Graduate Assistant, Rutgers University, Aug 2020 - Present
Research
Combustion Mechanisms of Hydrocarbon Fuel Based on Deep Learning
ML-Potential for Simulations of Biochemical Reactions and Drug Discovery
Publications
Zeng, Jinzhe; Zhang, Linfeng*; Wang, Han*; Zhu, Tong*, Exploring the Chemical Space of Linear Alkanes Pyrolysis via Deep Potential GENerator, Energy & Fuels, 2020, DOI: 10.1021/acs.energyfuels.0c03211
Zeng, Jinzhe; Cao, Liqun; Xu, Mingyuan; Zhu, Tong*; Zhang, John ZH*, Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation, Nature Communications, 2020, 11, 5713, DOI: 10.1038/s41467-020-19497-z
Zhang, Yuzhi; Wang, Haidi; Chen, Weijie; Zeng, Jinzhe; Zhang, Linfeng*; Wang, Han*; E, Weinan*, DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models, Comput. Phys. Commun, 2020, 253, 107206, DOI: 10.1016/j.cpc.2020.107206
Cao, Liqun; Zeng, Jinzhe; Xu, Mingyuan; Chin, Chih-Hao; Zhu, Tong*; Zhang, John ZH*, Combustion Driven by Fragment-based Ab Initio Molecular Dynamics Simulation, ChemRxiv. Preprint, 2019-12-31, DOI: 10.26434/chemrxiv.11462160