Jinzhe Zeng

According to our database, Jinzhe Zeng authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale.

Linfeng Zhang, Siheng Chen, Yuzhu Cai, Jingyi Chai, Junhan Chang, Kun Chen, Zhi X. Chen, Zhaohan Ding, Yuwen Du, Yuanpeng Gao, Yuan Gao, Jing Gao, Zhifeng Gao, Qiangqiang Gu, Yanhui Hong, Yuan Huang, Xi Fang, Xiaohong Ji, Guolin Ke, Zixing Lei, Xinyu Li, Yongge Li, Ruoxue Liao, Hang Lin, Xiaolu Lin, Yuxiang Liu, Xinzijian Liu, Zexi Liu, Jintan Lu, Tingjia Miao, Haohui Que, Weijie Sun, Yanfeng Wang, Bingyang Wu, Tianju Xue, Rui Ye, Jinzhe Zeng, Duo Zhang, Jiahui Zhang, Linfeng Zhang, Tianhan Zhang, Wenchang Zhang, Yuzhi Zhang, Zezhong Zhang, Hang Zheng, Hui Zhou, Tong Zhu, Xinyu Zhu, Qingguo Zhou, Weinan E

CoRR, December, 2025

Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day.

Jianxiong Li, Beining Zhang, Mingzhen Li, Siyu Hu, Jinzhe Zeng, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia

CoRR, April, 2025

Scaling Neural-Network-Based Molecular Dynamics with Long-Range Electrostatic Interactions to 51 Nanoseconds per Day.

Jianxiong Li, Beining Zhang, Mingzhen Li, Siyu Hu, Jinzhe Zeng, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia

Dataset, April, 2025

dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets.

Jinzhe Zeng, Xingliang Peng, Yong-Bin Zhuang, Haidi Wang, Fengbo Yuan, Duo Zhang, Renxi Liu, Yingze Wang, Ping Tuo, Yuzhi Zhang, Yixiao Chen, Yifan Li, Cao Thang Nguyen, Jiameng Huang, Anyang Peng, Marián Rynik, Wei-Hong Xu, Zezhong Zhang, Xu-Yuan Zhou, Tao Chen, Jiahao Fan, Wanrun Jiang, Bowen Li, Denan Li, Haoxi Li, Wenshuo Liang, Ruihao Liao, Liping Liu, Chenxing Luo, Logan Ward, Kaiwei Wan, Junjie Wang, Pan Xiang, Chengqian Zhang, Jinchao Zhang, Rui Zhou, Jia-Xin Zhu, Linfeng Zhang, Han Wang

J. Chem. Inf. Model., 2025

DeePMD-GNN: A DeePMD-kit Plugin for External Graph Neural Network Potentials.

Jinzhe Zeng, Timothy J. Giese, Duo Zhang, Han Wang, Darrin M. York

J. Chem. Inf. Model., 2025

DPDispatcher: Scalable HPC Task Scheduling for AI-Driven Science.

Fengbo Yuan, Zhaohan Ding, Yun-Pei Liu, Kai Cao, Jiahao Fan, Cao Thang Nguyen, Yuzhi Zhang, Haidi Wang, Yixiao Chen, Jiameng Huang, Tongqi Wen, Mingkang Liu, Yifan Li, Yong-Bin Zhuang, Hao Yu, Ping Tuo, Yaotang Zhang, Yibo Wang, Linfeng Zhang, Han Wang, Jinzhe Zeng

J. Chem. Inf. Model., 2025

Recent Developments in Amber Biomolecular Simulations.

David A. Case, David S. Cerutti, Vinícius Wilian D. Cruzeiro, Thomas A. Darden, Robert E. Duke, Mahdieh Ghazimirsaeed, George M. Giambasu, Timothy J. Giese, Andreas W. Götz, Julie A. Harris, Koushik Kasavajhala, Tai-Sung Lee, Zhen Li, Charles Lin, Jian Liu, Yinglong Miao, Romelia Salomón-Ferrer, Jana Shen, Ryan Snyder, Jason M. Swails, Ross C. Walker, Jinan Wang, Xiongwu Wu, Jinzhe Zeng, Thomas E. Cheatham III, Daniel R. Roe, Adrian E. Roitberg, Carlos Simmerling, Darrin M. York, Maria C. Nagan, Kenneth M. Merz Jr.

J. Chem. Inf. Model., 2025

2024

Dflow, a Python framework for constructing cloud-native AI-for-Science workflows.

Xinzijian Liu, Yanbo Han, Zhuoyuan Li, Jiahao Fan, Chengqian Zhang, Jinzhe Zeng, Yifan Shan, Yannan Yuan, Wei-Hong Xu, Yun-Pei Liu, Yuzhi Zhang, Tongqi Wen, Darrin M. York, Zhicheng Zhong, Hang Zheng, Jun Cheng, Linfeng Zhang, Han Wang

CoRR, 2024

2020

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

Comput. Phys. Commun., 2020

2019

Neural Network Based in Silico Simulation of Combustion Reactions.

Jinzhe Zeng, Liqun Cao, Mingyuan Xu, Tong Zhu, John Z. H. Zhang

CoRR, 2019