Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression

Bhat, N; Barnard, AS; Birbilis, Nick

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Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression

Version 2 2024-06-02, 22:48

Version 1 2023-08-24, 04:30

journal contribution

posted on 2024-06-02, 22:48 authored by N Bhat, AS Barnard, Nick BirbilisNick Birbilis

Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression

History

Journal

Computational Materials Science

Volume

228

Article number

112270

Pagination

1-12

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.commatsci.2023.112270

ISSN

0927-0256

eISSN

1879-0801

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Elsevier

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Keywords

Alloy design Aluminium alloys Class-based regression DESIGN Machine learning Materials Science Materials Science, Multidisciplinary MICROSTRUCTURE NEURAL-NETWORKS Property prediction Science & Technology Technology

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File(s) under embargo

Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression

History

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Volume

Article number

Pagination

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eISSN

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Keywords

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