Christopher Sutton
Materials Chemistry · 2018
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 54 citations into it
- Renewable Energy, Sustainability and the Environment — 11 citations into it
- Computational Theory and Mathematics — 10 citations into it
Whom Christopher Sutton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Christopher Sutton overall
Papers from Christopher Sutton's perspective
Ordered by how strongly the researchers Christopher Sutton trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Gradient Approximation Made Simple.
- 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
- Understanding Machine-learned Density Functionals
- Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials
- Machine learning of accurate energy-conserving molecular force fields
- On representing chemical environments
- Towards the computational design of solid catalysts.
- Quantum-chemical insights from deep tensor neural networks
Their papers
- New tolerance factor to predict the stability of perovskite oxides and halides (2018) — 1,477 citations
- Machine learning for heterogeneous catalyst design and discovery (2018) — 369 citations