Volker L. Deringer

Materials Chemistry · 2011–2023

A researcher in the Science corpus: 9 papers; trusts 3 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Volker L. Deringer trusts overall

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

  1. J. Behler
  2. A. P. Bart'ok
  3. Artem R. Oganov
  4. Gábor Csányi
  5. Kieron Burke
  6. Matthias Wuttig
  7. A. Gross
  8. Evgeny V. Podryabinkin
  9. Nongnuch Artrith
  10. J. Perdew

Who trusts Volker L. Deringer overall

  1. A. P. Bart'ok
  2. Evgeny V. Podryabinkin
  3. S. Steinberg
  4. Alexander V. Shapeev
  5. Pascal Friederich
  6. Félix Musil
  7. Yuri Mishin
  8. Ivan S. Novikov
  9. Gábor Csányi
  10. James R. Kermode

Papers from Volker L. Deringer's perspective

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

  1. Generalized neural-network representation of high-dimensional potential-energy surfaces.
  2. ANI-1: an extensible neural network potential with DFT accuracy at force field computational cost
  3. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  4. Modern methods of crystal structure prediction
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
  7. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  8. Theoretical Surface Science: A Microscopic Perspective
  9. CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations. (Journal of Chemical Physics)
  10. The Elements of Statistical Learning

Their papers