Muratahan Aykol

Materials Chemistry · 2013–2023

A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Muratahan Aykol trusts overall

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

  1. J. Behler
  2. Shyue Ping Ong
  3. Anubhav Jain
  4. Geoffroy Hautier

Who trusts Muratahan Aykol overall

  1. Logan T. Ward

Papers from Muratahan Aykol's perspective

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

  1. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Relational inductive biases, deep learning, and graph networks
  4. Parameter-free calculations of X-ray spectra with FEFF9. (Physical Chemistry, Chemical Physics - PCCP)
  5. First principles phonon calculations in materials science
  6. AiiDA: Automated Interactive Infrastructure and Database for Computational Science (arXiv.org)
  7. The Inorganic Crystal Structure Database (ICSD)—Present and Future
  8. ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
  9. Computational predictions of energy materials using density functional theory
  10. Generalized neural-network representation of high-dimensional potential-energy surfaces.

Their papers