Chuhong Wang

Materials Chemistry · 2020

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

Whom Chuhong Wang trusts overall

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

  1. J. Behler

Papers from Chuhong Wang's perspective

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

  1. Generalized neural-network representation of high-dimensional potential-energy surfaces.
  2. Comparing molecules and solids across structural and alchemical space.
  3. Machine learning based interatomic potential for amorphous carbon
  4. Accurate Force Field for Molybdenum by Machine Learning Large Materials Data
  5. Fast and accurate modeling of molecular atomization energies with machine learning.
  6. The Elements of Statistical Learning
  7. High-dimensional neural network potentials for metal surfaces: A prototype study for copper
  8. Computational Materials Science X
  9. On representing chemical environments
  10. Atom-centered symmetry functions for constructing high-dimensional neural network potentials.

Their papers