Brandon M. Wood

According to our database1, Brandon M. Wood authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
FlowMM: Generating Materials with Riemannian Flow Matching.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022
AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning.
CoRR, 2022

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis.
CoRR, 2022

Spherical Channels for Modeling Atomic Interactions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

2020
The Open Catalyst 2020 (OC20) Dataset and Community Challenges.
CoRR, 2020

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage.
CoRR, 2020


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