Weijie Chen

Computer Physics Communications · with Wang · 2019

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Weijie Chen's perspective

Ordered by how strongly the researchers Weijie Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Computational Materials Science X
2. I and J
3. Ab Initio Molecular Dynamics: Basic Theory and Advanced Methods
4. Deep Learning
5. Generalized neural-network representation of high-dimensional potential-energy surfaces.
6. Escaping free-energy minima
7. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
8. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
9. On representing chemical environments
10. Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics

Their papers

• DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models (2019) — 831 citations