Articles with "learning inorganic" as a keyword



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Contrastive representation learning of inorganic materials to overcome lack of training datasets.

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Published in 2022 at "Chemical communications"

DOI: 10.1039/d2cc01764d

Abstract: Data representation forms a feature space where forms data distribution that is one of the key factors determining the prediction accuracy of machine learning (ML). In particular, the data representation is crucial to handle small… read more here.

Keywords: training datasets; contrastive representation; learning inorganic; representation learning ... See more keywords