Carlos Amador-Bedolla

Nature Reviews Materials · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Carlos Amador-Bedolla trusts

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

  1. David P. Anderson (in Computer Networks and Communications)

Who trusts Carlos Amador-Bedolla

  1. Dougal Maclaurin (in AI for Physical Sciences)

Papers from Carlos Amador-Bedolla's perspective

Ordered by how strongly the researchers Carlos Amador-Bedolla trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BOINC: a system for public-resource computing and storage (Fifth IEEE/ACM International Workshop on Grid Computing)
  2. Neural Networks for the Prediction of Organic Chemistry Reactions
  3. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
  4. SchNet - A deep learning architecture for molecules and materials.
  5. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  6. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
  7. ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
  8. The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid
  9. Machine learning unifies the modeling of materials and molecules
  10. Pattern Recognition and Machine Learning

Their papers