Haidi Wang

Computer Physics Communications · 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.

Whom Haidi Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dominik Marx

Papers from Haidi Wang's perspective

Ordered by how strongly the researchers Haidi Wang 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. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
7. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
8. Escaping free-energy minima
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