Christian Devereux

Materials Chemistry · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Devereux trusts overall

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

  1. Frank Neese
  2. J. Behler
  3. Nongnuch Artrith
  4. Justin S. Smith

Who trusts Christian Devereux overall

  1. Simon L. Batzner
  2. Albert Musaelian

Papers from Christian Devereux's perspective

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

  1. Deep Learning
  2. A Survey on Transfer Learning
  3. Transfer Learning for Reinforcement Learning Domains: A Survey
  4. Boosting for transfer learning
  5. Quantum-chemical insights from deep tensor neural networks
  6. Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.
  7. Machine learning: Trends, perspectives, and prospects
  8. The ORCA program system
  9. Sparse maps--A systematic infrastructure for reduced-scaling electronic structure methods. II. Linear scaling domain based pair natural orbital coupled cluster theory. (Journal of Chemical Physics)
  10. Less is more: sampling chemical space with active learning (Journal of Chemical Physics)

Their papers