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
- Materials Chemistry — 77 citations into it
- Atomic and Molecular Physics, and Optics — 46 citations into it
- Computational Chemistry & Drug Discovery — 32 citations into it
- AI for Physical Sciences — 23 citations into it
- Physical and Theoretical Chemistry — 23 citations into it
- Artificial Intelligence — 12 citations into it
- Spectroscopy — 11 citations into it
Whom Christian Devereux trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Christian Devereux overall
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.
- Deep Learning
- A Survey on Transfer Learning
- Transfer Learning for Reinforcement Learning Domains: A Survey
- Boosting for transfer learning
- Quantum-chemical insights from deep tensor neural networks
- Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.
- Machine learning: Trends, perspectives, and prospects
- The ORCA program system
- 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)
- Less is more: sampling chemical space with active learning (Journal of Chemical Physics)
Their papers
- Approaching coupled cluster accuracy with a general-purpose neural network potential through transfer learning (2019) — 591 citations
- Extending the applicability of the ANI deep learning molecular potential to Sulfur and Halogens. (2020) — 371 citations
- Outsmarting Quantum Chemistry Through Transfer Learning (2018)