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E. H. Glaessgen — most-cited papers & profile · AI for Science
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E. H. Glaessgen
1
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0
citations
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Most-cited papers
Development of a general-purpose machine-learning interatomic potential for aluminum by the physically-informed neural network method
2020
Top co-authors
G.P. Purja Pun
· 1
J. Hickman
· 1
V. Yamakov
· 1
Y. Mishin
· 1
Topics
Materials
Physics ML
Chemistry