Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials

Chemical Physics (physics.chem-ph) FOS: Computer and information sciences Computer Science - Machine Learning 0303 health sciences 03 medical and health sciences Artificial Intelligence (cs.AI) Computer Science - Artificial Intelligence Physics - Chemical Physics FOS: Physical sciences Machine Learning (cs.LG)
DOI: 10.1021/acs.jctc.3c00289 Publication Date: 2023-06-30T17:46:16Z
ABSTRACT
Recent advances in equivariant graph neural networks (GNNs) have made deep learning amenable to developing fast surrogate models expensive
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