昌珺涵

beat365 beat365
2021級研究生
研究方向：機器學習、藥物設計、自由能計算
電話: （010）62756031
Email: changjh_at_pku.edu.cn
English Version

 

簡曆:

2017年9月-2021年6月：beat365官方网站，理學學士。

2021年9月至今：beat365官方网站，博士研究生。

 

發表論文:

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).

 

參加會議：

敬請期待。

 

獲獎情況:

1. 2017-2018學年，beat365光華獎學金。

2. 2018年，全國大學生數學建模競賽二等獎。

 

興趣愛好:

深度學習、散打。