J. Esterhuizen

Materials Chemistry · 2018

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

Subfields

• Materials Chemistry — 30 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Renewable Energy, Sustainability and the Environment — 8 citations into it

Whom J. Esterhuizen trusts overall

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

1. Matthias Rupp 
2. Jeff Greeley
3. A. P. Bart'ok
4. Bryan R. Goldsmith
5. Alexander V. Shapeev
6. Jens K. Nørskov
7. Luca M. Ghiringhelli
8. Francisco Herrera

Who trusts J. Esterhuizen overall

1. An Chen

Papers from J. Esterhuizen's perspective

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

1. Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials
2. Machine learning of accurate energy-conserving molecular force fields
3. Understanding Machine-learned Density Functionals
4. On representing chemical environments
5. Quantum-chemical insights from deep tensor neural networks
6. An overview on subgroup discovery: foundations and applications
7. Bypassing the Kohn-Sham equations with machine learning
8. Machine learning for quantum mechanics in a nutshell
9. Big data of materials science: critical role of the descriptor.
10. Materials Synthesis Insights from Scientific Literature via Text Extraction and Machine Learning

Their papers

• Machine learning for heterogeneous catalyst design and discovery (2018) — 369 citations