T. Wen

Materials Chemistry · Journal of The American Ceramic Society · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom T. Wen trusts overall

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

  1. J. Behler
  2. Linfeng Zhang
  3. Alexander V. Shapeev
  4. S. Plimpton
  5. Kristof T. Schütt
  6. Han Wang
  7. Michele Parrinello
  8. Alessandro Laio
  9. Andrew R. Barron
  10. Michele Ceriotti

Who trusts T. Wen overall

  1. Andrew J. Wright

Papers from T. Wen's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. I and J
  3. Generalized neural-network representation of high-dimensional potential-energy surfaces.
  4. Pattern Recognition and Machine Learning
  5. Fast parallel algorithms for short-range molecular dynamics
  6. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
  7. Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Learning
  10. Moment Tensor Potentials: A Class of Systematically Improvable Interatomic Potentials

Their papers