Christopher J. Bartel
Materials Chemistry · 2018–2023
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 82 citations into it
- Renewable Energy, Sustainability and the Environment — 15 citations into it
- Computational Theory and Mathematics — 13 citations into it
Whom Christopher J. Bartel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Perdew
- Runhai Ouyang
- S. Kirklin
- Luca M. Ghiringhelli
- Matthias Rupp
- Jeff Greeley
- Kieron Burke
- Stefano Curtarolo
Who trusts Christopher J. Bartel overall
Papers from Christopher J. Bartel's perspective
Ordered by how strongly the researchers Christopher J. Bartel trusts endorse each paper. Same corpus, a different order for every researcher.
- Generalized Gradient Approximation Made Simple.
- The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
- Crystal structure prediction from first principles. (Nature Materials)
- Chemically diverse and multifunctional hybrid organic–inorganic perovskites
- Understanding Machine-learned Density Functionals
- Towards the computational design of solid catalysts.
- Machine learning of accurate energy-conserving molecular force fields
- Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials
- On representing chemical environments
- Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning
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
- CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling (2023) — 967 citations
- An autonomous laboratory for the accelerated synthesis of inorganic materials (2023) — 797 citations