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1,899 claims from 1,171 papers are on the record. 46 have been checked so far; the other 1,853 have no check with a result yet.

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1 claim from 1 paper

1. Materials Science › Machine Learning in Materials Science

   Unsupervised word embeddings capture latent knowledge from materials science literature

   Tshitoyan, Dagdelen, Weston et al. · Nature · 2019

   Word embeddings trained on materials science papers without human labelling capture chemical concepts and can point to materials for applications years before their discovery.

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   1. UncheckedAn unsupervised text-based method can recommend materials for functional applications several years before they were discovered.“Furthermore, we demonstrate that an unsupervised method can recommend materials for functional applications several years before their discovery.”