A machine learning-driven framework for the property prediction and generative design of multiple principal element alloys
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Version 1 2024-01-15, 03:19Version 1 2024-01-15, 03:19
journal contribution
posted on 2024-06-03, 02:31 authored by Z Li, S Li, Nick BirbilisNick BirbilisA machine learning-driven framework for the property prediction and generative design of multiple principal element alloys
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Location
Amsterdam, The NetherlandsLanguage
engPublication classification
C1 Refereed article in a scholarly journalJournal
Materials Today CommunicationsVolume
38Article number
107940Pagination
1-12ISSN
2352-4928eISSN
2352-4928Publisher
ElsevierPublication URL
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