Brandon Wood

Materials Chemistry · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 91 citations into it
• Computational Theory and Mathematics — 37 citations into it
• Artificial Intelligence — 36 citations into it
• Computational Chemistry & Drug Discovery — 25 citations into it
• Molecular Biology — 25 citations into it
• Graph Learning — 15 citations into it
• Spectroscopy — 5 citations into it

Whom Brandon Wood trusts overall

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

1. Johannes Klicpera
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Vijay Prakash Dwivedi
5. Alex Krizhevsky
6. Yoshua Bengio
7. Prajit Ramachandran
8. Diederik P. Kingma
9. Ashish Vaswani
10. Kaiming He

Papers from Brandon Wood's perspective

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

Their papers

• The Open Catalyst 2020 (OC20) Dataset and Community Challenges (2020) — 822 citations
• An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage (2020) — 83 citations
• EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations (2023) — 359 citations