Zheyong Fan

Materials Chemistry · 2015–2022

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zheyong Fan trusts overall

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

  1. J. Behler
  2. Mark E. Tuckerman
  3. S. Plimpton
  4. Yi Xia
  5. A. P. Bart'ok
  6. Wei-Ling Lv
  7. Aidan P. Thompson
  8. F. Eriksson
  9. Han Wang
  10. L. Lindsay

Who trusts Zheyong Fan overall

  1. Xiaokun Gu

Papers from Zheyong Fan's perspective

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

  1. On representing chemical environments
  2. QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials (Journal of Physics: Condensed Matter)
  3. Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials
  4. DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics (Computer Physics Communications)
  5. Natural Evolution Strategies
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Revisiting lattice thermal transport in PbTe: The crucial role of quartic anharmonicity (Applied Physics Letters)
  8. First-principles prediction of phononic thermal conductivity of silicene: A comparison with graphene
  9. Statistical Mechanics: Theory and Molecular Simulation
  10. Generalized neural-network representation of high-dimensional potential-energy surfaces.

Their papers