Yiming Chen

Materials Chemistry · with Ong · 2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 107 citations into it

Whom Yiming Chen trusts overall

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

1. J. Behler

Papers from Yiming Chen's perspective

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

1. Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
2. Machine learning based interatomic potential for amorphous carbon
3. Comparing molecules and solids across structural and alchemical space.
4. Computational Materials Science X
5. The journal of physical chemistry letters
6. Accuracy and transferability of Gaussian approximation potential models for tungsten
7. Gaussian approximation potentials: the accuracy of quantum mechanics, without the electrons.
8. On representing chemical environments
9. Atom-centered symmetry functions for constructing high-dimensional neural network potentials.
10. Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials

Their papers

• A Performance and Cost Assessment of Machine Learning Interatomic Potentials. (2019) — 807 citations
• 2DMatPedia, an open computational database of two-dimensional materials from top-down and bottom-up approaches (2019) — 332 citations