/tools/equiformer_v2
equiformer_v2
atomicarchitects/equiformer_v2
summary
EquiformerV2 is a PyTorch implementation of an improved equivariant transformer designed for scaling to higher-degree representations in molecular systems. It is utilized for training on datasets related to energy and force predictions, making it a valuable tool in drug discovery and molecular dynamics simulations.
description
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
topics
catalyst-designcomputational-chemistrycomputational-physicsdeep-learningdrug-discoveryequivariant-graph-neural-networkequivariant-neural-networksforce-fieldsinteratomic-potentialsmachine-learningmolecular-dynamicspytorchai-for-sciencegraph-neural-networkse3nngeometric-deep-learningmaterials-science
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