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
AUTHORS (4)
ABSTRACT
Recent advances in equivariant graph neural networks (GNNs) have made deep learning amenable to developing fast surrogate models expensive
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