Junhan Chang

Physical Chemistry, Peking University
Grad. 2021
Research Area: machine learning, drug design
Tel: +86-010-62756031
Email: changjh_at_pku.edu.cn

Experiences:

2017.9-2021.7, B. Sc., College of Chemistry and Molecular Engineering, Peking University.

2021.9-present, Ph. D candidate, College of Chemistry and Molecular Engineering, Peking University.

Publications:

1.Wei Li, Ling Gao, Shiyong Cui, Tiantian Wei, Jiayu Sun, Xinyue Zhou, Shuyu Liang, Xiaoqing Pan, Xuanzhen Pan, Chuanping Gao, Yingze Wang, Junhan Chang, Chunting Wang, Pinou Lv, Junyu Xiao, Peng Dai* & Xing Chen*. Protein β-O-glucosylation by Legionella LtpM through short consensus sequons G-T/S and S-G. Nat. Chem. Bio. 21 (11), 1806-1817 (2025).

2. Jinzhe Zeng,* Duo Zhang, Anyang Peng, Xiangyu Zhang, Sensen He, Yan Wang, Xinzijian Liu, Hangrui Bi, Yifan Li, Chun Cai, Chengqian Zhang, Yiming Du, Jia-Xin Zhu, Pinghui Mo, Zhengtao Huang, Qiyu Zeng, Shaochen Shi, Xuejian Qin, Zhaoxi Yu, Chenxing Luo, Ye Ding, Yun-Pei Liu, Ruosong Shi, Zhenyu Wang, Sigbjørn Løland Bore, Junhan Chang, Zhe Deng, Zhaohan Ding, Siyuan Han, Wanrun Jiang, Guolin Ke, Zhaoqing Liu, Denghui Lu, Koki Muraoka, Hananeh Oliaei, Anurag Kumar Singh, Haohui Que, Weihong Xu, Zhangmancang Xu, Yong-Bin Zhuang, Jiayu Dai, Timothy J. Giese, Weile Jia, Ben Xu, Darrin M. York, Linfeng Zhang,* and Han Wang*. DeePMD-kit v3: A Multiple-backend framework for machine learning potentials. J. Chem. Theory Comput. 21 (9), 4375-4385 (2025).

3. Duo Zhang, Xinzijian Liu, Xiangyu Zhang, Chengqian Zhang, Chun Cai, Hangrui Bi, Yiming Du, Xuejian Qin, Anyang Peng, Jiameng Huang, Bowen Li, Yifan Shan, Jinzhe Zeng, Yuzhi Zhang, Siyuan Liu, Yifan Li, Junhan Chang, Xinyan Wang, Shuo Zhou, Jianchuan Liu, Xiaoshan Luo, Zhenyu Wang, Wanrun Jiang, Jing Wu, Yudi Yang, Jiyuan Yang, Manyi Yang, Fu-Qiang Gong, Linshuang Zhang, Mengchao Shi, Fu-Zhi Dai, Darrin M. York, Shi Liu, Tong Zhu, Zhicheng Zhong, Jian Lv, Jun Cheng, Weile Jia, Mohan Chen, Guolin Ke, Weinan E, Linfeng Zhang* & Han Wang*.  DPA-2: a large atomic model as a multi-task learner. NPJ Comput. Mater. 10 (1), 293/1-15 (2024).

4. Jinzhe Zeng, Duo Zhang, Denghui Lu, Pinghui Mo, Zeyu Li, Yixiao Chen, Marián Rynik, Li'ang Huang, Ziyao Li, Shaochen Shi, Yingze Wang, Haotian Ye, Ping Tuo, Jiabin Yang, Ye Ding, Yifan Li, Davide Tisi, Qiyu Zeng, Han Bao, Yu Xia, Jiameng Huang, Koki Muraoka, Yibo Wang, Junhan Chang, Fengbo Yuan, Sigbjørn Løland Bore, Chun Cai, Yinnian Lin, Bo Wang, Jiayan Xu, Jia-Xin Zhu, Chenxing Luo, Yuzhi Zhang, Rhys E. A. Goodall, Wenshuo Liang, Anurag Kumar Singh, Sikai Yao, Jingchao Zhang, Renata Wentzcovitch, Jiequn Han, Jie Liu, Weile Jia, Darrin M. York, Weinan E, Roberto Car, Linfeng Zhang*, and Han Wang*.  DeePMD-kit v2: A software package for deep potential models. J. Chem. Phys. 159 (5), 0155600 (2023).

5. Xinyan Wang, Jichen Li, Lan Yang, Feiyang Chen, Yingze Wang, Junhan Chang, Junmin Chen, Wei Feng, Linfeng Zhang*, and Kuang Yu*. DMFF: An open-source automatic differentiable platform for Molecular Force Field development and molecular dynamics simulation. J. Chem. Theory Comput. 19 (17), 5897-5909 (2023).

6. Dongdong Wang, Yanze Wang, Junhan Chang, Linfeng Zhang*, Han Wang*, and Weinan E*. Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics. Nat. Comput. Sci. 2 (1), 20-29 (2022).

7. Jun Zhang, Yao-Kun Lei, Zhen Zhang, Junhan Chang, Maodong Li, Xu Han, Lijiang Yang, Yi Isaac Yang*, and Yi Qin Gao*.  A Perspective on deep learning for molecular modeling and simulations. J. Phys. Chem. A 124 (34) 6745–6763 (2020).

Meetings:

Stay tuned.

Awards:

1. Social Services Award, Peking University (2019).

2. The Guanghua Scholarship of Education, Peking University (2018).

3. Second Prize in China Undergraduate Mathematical Contest in Modeling (2018).

Hobbies:

 Sanshou, Deep Learning.