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Material Science Division — most-cited papers & profile · AI for Science
← authors
·
overview
Material Science Division
1
papers ·
0
citations
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Most-cited papers
Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings
2021
Top co-authors
Berkeley
· 1
CA
· 1
Carla P. Gomes (1
· 1
Chemical Science Division
· 1
Dan Guevarra (3
· 1
Division of Engineering and Applied Science
· 1
Francesco Ricci (2 and 4
· 1
Ithaca
· 1
Jeffrey B. Neaton (2 and 5 and 6
· 1
NY
· 1
Pasadena
· 1
Shufeng Kong (1
· 1
Topics
Materials
Drug Discovery
Physics ML