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Unlocking broad downstream generalization for 3D atomistic systems, Atom-JEPA achieves state-of-the-art property prediction by learning from unlabeled structures alone.
Equivariant graph neural networks can dramatically improve optical spectra predictions, outperforming traditional models and enhancing materials screening for solar cells.
