Aidan P. Thompson
Materials Chemistry · 2006–2022
A researcher in the Science corpus: 8 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 97 citations into it; #3,987 of 11,513 by trust here, #4,696 by citations
- Atomic and Molecular Physics, and Optics — 44 citations into it; #3,613 of 7,135 by trust here, #2,237 by citations
- Computational Chemistry & Drug Discovery — 18 citations into it
Whom Aidan P. Thompson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. P. Bart'ok
- R. Gröger
- S. Plimpton
- J. Perdew
- Risi Kondor
- Gábor Csányi
- J. Behler
- Alexei V. Meremianin
- Kieron Burke
Who trusts Aidan P. Thompson overall
- Yuri Mishin
- Albert Musaelian
- Ilyes Batatia
- Evgeny V. Podryabinkin
- Simon L. Batzner
- Xianglin Liu
- Chi Chen
- Alexander V. Shapeev
- A. P. Bart'ok
- Zheyong Fan
Papers from Aidan P. Thompson's perspective
Ordered by how strongly the researchers Aidan P. Thompson trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantum Theory of Angular Momentum
- Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
- Comparing molecules and solids across structural and alchemical space.
- Machine learning based interatomic potential for amorphous carbon
- High-dimensional neural network potentials for metal surfaces: A prototype study for copper
- Gaussian approximation potentials: the accuracy of quantum mechanics, without the electrons.
- Computational Materials Science X
- Atom-centered symmetry functions for constructing high-dimensional neural network potentials.
- The journal of physical chemistry letters
- On representing chemical environments
Their papers
- Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials (2014) — 1,032 citations
- A Performance and Cost Assessment of Machine Learning Interatomic Potentials. (2019) — 807 citations
- Computational aspects of many-body potentials (2012) — 343 citations
- LAMMPS - A flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales (2021) — 10,259 citations
- LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales (2022) — 1,155 citations
- Quantum-Accurate Molecular Dynamics Potential for Tungsten (2017) — 28 citations
- General formulation of pressure and stress tensor for arbitrary many-body interaction potentials under periodic boundary conditions. (2009) — 932 citations
- Electronic structure of intrinsic defects in crystalline germanium telluride (2006) — 184 citations