John A. Parkhill

Atomic and Molecular Physics, and Optics · 2014–2021

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John A. Parkhill trusts overall

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

  1. J. Behler
  2. Matthias Rupp 

Papers from John A. Parkhill's perspective

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

  1. The Harvard Clean Energy Project: Large-Scale Computational Screening and Design of Organic Photovoltaics on the World Community Grid
  2. Fourier series of atomic radial distribution functions: A molecular fingerprint for machine learning models of quantum chemical properties
  3. IL-13受体α2降低血吸虫病肉芽肿的炎症反应并延长宿主存活时间[英]/Mentink-Kane MM,Cheever AW，Thompson RW，et al//Proc Natl Acad Sci U S A
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers