Performance metrics for tensorial learning: prediction of Li4Ti5O12 nuclear magnetic resonance observables at experimental accuracy
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DOI: 10.1039/d5ta05090a
Abstract: Predicting observable quantities from first principles calculations is the next frontier within the field of machine learning (ML) for materials modelling. While ML models have shown success for the prediction... read more here.
Keywords: tensorial learning; performance metrics; metrics tensorial; learning prediction ... See more keywords