People
E Weinan
Distinguished Professor of Mathematics
1491S
weinan@math.pku.edu.cn
Education
Ph.D., 1985-1989, athematics, UCLA
M.S., 1982-1985, Mathematics, Chinese Academy of Sciences
B.S., 1978-1982, Mathematics, University of Science and Technology of China
M.S., 1982-1985, Mathematics, Chinese Academy of Sciences
B.S., 1978-1982, Mathematics, University of Science and Technology of China
Research Interests
numerical algorithms, machine learning and multi-scale modeling, with applications to chemistry, material sciences and fluid mechanics
Selected Publication
1. Yang, Hongkang; E, Weinan; Generalization error of GAN from the discriminator's perspective, Research in the Mathematical Sciences, 2022, 9: 8
2. Zhang,Linfeng; Wang,Han; Car,Roberto; E,Weinan ; Phase diagram of a deep potential water model, Physical Review Letters, 2021, 126: 236001
3. Wang, Dongdong; Wang, Yanze; Chang, Junhan; Zhang, Linfeng; Wang, Han; E, Weinan; Efficientsampling of high-dimensional free energy landscapes using adaptive reinforced dynamics, Nature Computational Science, 2021, 2: 20-29
4. Chen, Yixiao; Zhang, Linfeng; Wang, Han; E, Weinan; DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory, Journal of Chemical Theory and Computation, 2021, 17(1): 170-181
5. Li, Zhong; Han, Jiequn; E, Weinan; Li, Qianxiao ; On the curse of memory in recurrent neural networks: approximation and optimization analysis, ICLR 2021, https://iclr.cc/Conferences/2021/Dates, 2021-5-3至2021-5-7
2. Zhang,Linfeng; Wang,Han; Car,Roberto; E,Weinan ; Phase diagram of a deep potential water model, Physical Review Letters, 2021, 126: 236001
3. Wang, Dongdong; Wang, Yanze; Chang, Junhan; Zhang, Linfeng; Wang, Han; E, Weinan; Efficientsampling of high-dimensional free energy landscapes using adaptive reinforced dynamics, Nature Computational Science, 2021, 2: 20-29
4. Chen, Yixiao; Zhang, Linfeng; Wang, Han; E, Weinan; DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory, Journal of Chemical Theory and Computation, 2021, 17(1): 170-181
5. Li, Zhong; Han, Jiequn; E, Weinan; Li, Qianxiao ; On the curse of memory in recurrent neural networks: approximation and optimization analysis, ICLR 2021, https://iclr.cc/Conferences/2021/Dates, 2021-5-3至2021-5-7