Jiequn Han

Publication Activity (10 Years)

Years Active: 2018-2019
Publications (10 Years): 3

Top Topics

Machine Learning

Molecular Dynamics Simulations

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

The Journal of chemical physics

This page only lists publications with an associated author ORCID identifier.

Publications

Jiequn Han, Chao Ma, Zheng Ma, Weinan E
Uniformly accurate machine learning-based hydrodynamic models for kinetic equations. Proceedings of the National Academy of Sciences of the United States of America 116 (44) (2019)
Jiequn Han, Arnulf Jentzen, Weinan E
Solving high-dimensional partial differential equations using deep learning. Proceedings of the National Academy of Sciences of the United States of America 115 (34) (2018)
Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E
DeePCG: Constructing coarse-grained models via deep neural networks. The Journal of chemical physics 149 (3) (2018)