关注
Pei Ge
Pei Ge
Michigan State University
在 msu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Data-driven construction of stochastic reduced dynamics encoded with non-Markovian features
Z She, P Ge, H Lei
The Journal of Chemical Physics 158 (3), 2023
122023
DeePN: A deep learning-based non-Newtonian hydrodynamic model
L Fang, P Ge, L Zhang, H Lei
arXiv preprint arXiv:2112.14798, 2021
92021
Data-driven learning of the generalized Langevin equation with state-dependent memory
P Ge, Z Zhang, H Lei
Physical Review Letters 133 (7), 077301, 2024
32024
Machine learning assisted coarse-grained molecular dynamics modeling of meso-scale interfacial fluids
P Ge, L Zhang, H Lei
The Journal of Chemical Physics 158 (6), 2023
32023
系统目前无法执行此操作，请稍后再试。
文章 1–4
共建清朗的网络空间,如遇有害信息,请举报。
本站数据皆整合自互联网公开资源索引,方便科研学术方面查询,并不存储相关数据资源;如对此有异议,请联系我们解决.
© 2023 学术资源搜索   @联系我们 | 申请短期会员 | 数据源提交