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Jiequn Han — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Jiequn Han
11
papers ·
6
citations ·
23
h-index
Princeton University · Flatiron Health (United States) · Microsoft Research (United Kingdom) · Flatiron Institute
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Most-cited papers
ReBaNO: Reduced Basis Neural Operator Mitigating Generalization Gaps and Achieving Discretization Invariance
2025 · 2 citations
Deep Potential: a general representation of a many-body potential energy surface
2017
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics
2017
DeePCG: constructing coarse-grained models via deep neural networks
2018
Solving Many-Electron Schrödinger Equation Using Deep Neural Networks
2018
Uniformly Accurate Machine Learning Based Hydrodynamic Models for Kinetic Equations
2019
Topics
Chemistry
Materials
Math & Equations
Physics ML
cs.NA
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