Alireza Khorshidi

Materials Chemistry · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Alireza Khorshidi trusts overall

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

  1. J. Behler

Who trusts Alireza Khorshidi overall

  1. Yuri Mishin
  2. Yu-Hang Tang
  3. Dongkun Zhang
  4. Oliver T. Unke
  5. G. Em Karniadakis

Papers from Alireza Khorshidi's perspective

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

  1. Generalized neural-network representation of high-dimensional potential-energy surfaces.
  2. A and V
  3. Neural Networks for Pattern Recognition
  4. Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
  5. Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density.
  6. A Chemist's Guide to Density Functional Theory
  7. Accuracy and transferability of Gaussian approximation potential models for tungsten
  8. Machine learning based interatomic potential for amorphous carbon
  9. Comparing molecules and solids across structural and alchemical space.
  10. and s

Their papers