Physics-inspired machine learning of localized intensive properties
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DOI: 10.1039/d3sc00841j
Abstract: Machine learning (ML) has been widely applied to chemical property prediction, most prominently for the energies and forces in molecules and materials. The strong interest in predicting energies in particular has led to a ‘local… read more here.
Keywords: physics; machine learning; physics inspired; inspired machine ... See more keywords