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Equivariant graph neural networks can dramatically improve optical spectra predictions, outperforming traditional models and enhancing materials screening for solar cells.
Unlock accurate uncertainty estimates in your pre-trained regression models without retraining the whole network, using a simple post-hoc variance fitting trick.
