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A machine learning-driven framework for the property prediction and generative design of multiple principal element alloys

Version 2 2024-06-03, 02:31
Version 1 2024-01-15, 03:19
journal contribution
posted on 2024-06-03, 02:31 authored by Z Li, S Li, Nick BirbilisNick Birbilis
A machine learning-driven framework for the property prediction and generative design of multiple principal element alloys

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Location

Amsterdam, The Netherlands

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Journal

Materials Today Communications

Volume

38

Article number

107940

Pagination

1-12

ISSN

2352-4928

eISSN

2352-4928

Publisher

Elsevier

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