most citedDensity of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

94 citations · 94 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2021★ 94 cited

Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

Shufeng Kong, Francesco Ricci, Dan Guevarra +3

Machine learning for materials discovery has largely focused on predicting an individual scalar rather than multiple related properties, where spectral properties are an important…