Bryan R. Goldsmith
Materials Chemistry · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 87 citations into it
- Renewable Energy, Sustainability and the Environment — 18 citations into it
- Computational Theory and Mathematics — 13 citations into it
- Spectroscopy — 7 citations into it
Whom Bryan R. Goldsmith trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthias Rupp
- Jeff Greeley
- Luca M. Ghiringhelli
- A. P. Bart'ok
- Jens K. Nørskov
- Alexander V. Shapeev
- J. Behler
- Francisco Herrera
- Stefan Chmiela
- Christopher J. Bartel
Who trusts Bryan R. Goldsmith overall
Papers from Bryan R. Goldsmith's perspective
Ordered by how strongly the researchers Bryan R. Goldsmith trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Gradient Approximation Made Simple.
- Understanding Machine-learned Density Functionals
- Machine learning of accurate energy-conserving molecular force fields
- Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials
- Crystal structure prediction from first principles. (Nature Materials)
- The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
- Chemically diverse and multifunctional hybrid organic–inorganic perovskites
- On representing chemical environments
- Quantum-chemical insights from deep tensor neural networks
- An overview on subgroup discovery: foundations and applications
Their papers
- New tolerance factor to predict the stability of perovskite oxides and halides (2018) — 1,477 citations
- Beyond Ordered Materials: Understanding Catalytic Sites on Amorphous Solids (2017) — 160 citations
- Machine learning for heterogeneous catalyst design and discovery (2018) — 369 citations