Anders Johansson

Materials Chemistry · with Batzner · 2022

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 32 citations into it
• Computational Chemistry & Drug Discovery — 15 citations into it
• Computational Theory and Mathematics — 14 citations into it
• Molecular Biology — 13 citations into it
• Artificial Intelligence — 11 citations into it
• Atomic and Molecular Physics, and Optics — 10 citations into it
• AI for Physical Sciences — 8 citations into it
• Physical and Theoretical Chemistry — 8 citations into it

Whom Anders Johansson trusts overall

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

1. Kristof T. Schütt
2. Diederik P. Kingma
3. Stefan Chmiela
4. A. P. Bart'ok
5. Aidan P. Thompson
6. Kaiming He
7. Alexander V. Shapeev
8. Ralf Drautz
9. J. Behler
10. Risi Kondor

Papers from Anders Johansson's perspective

Ordered by how strongly the researchers Anders Johansson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Learning local equivariant representations for large-scale atomistic dynamics (2022) — 820 citations