昌珺涵

永利集团 77779193永利集团
2021级研究生
研究方向：机器学习、药物设计、自由能计算
电话: （010）62756031
Email: changjh_at_pku.edu.cn
English Version

 

简历:

2017年9月-2021年6月：77779193永利集团，理学学士。

2021年9月至今：77779193永利集团，博士研究生。

 

发表论文:

1. 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).

2. 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).

3. 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).

4. 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).

 

参加会议：

敬请期待。

 

获奖情况:

1. 2017-2018学年，永利集团光华奖学金。

2. 2018年，全国老员工数学建模竞赛二等奖。

 

兴趣爱好:

深度学习、散打。