Jiequn Han

Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics

Linfeng Zhang, Jiequn Han, Roberto Car et al. · Physical Review Letters · 2018 · 2K citations · Full text

DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

Han Wang, Linfeng Zhang, Jiequn Han et al. · Computer Physics Communications · 2018 · 1.8K citations · Full text

Molecular Dynamics, Engineering, Deep Learning +9

Solving high-dimensional partial differential equations using deep learning

Jiequn Han, Arnulf Jentzen, E Weinan · Proceedings of the National Academy of Sciences · 2018 · 1.6K citations · Full text

Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations

E Weinan, Jiequn Han, Arnulf Jentzen · Communications in Mathematics and Statistics · 2017 · 799 citations · Full text

Numerical Analysis, Engineering, Pde-constrained Optimization +7

DeePMD-kit v2: A software package for deep potential models

Jinzhe Zeng, Duo Zhang, Denghui Lu et al. · The Journal of Chemical Physics · 2023 · 453 citations · Full text

Engineering, Machine Learning, Molecular Biology +21