Unsupervised learning and pattern recognition in alloy design

Bhat, N; Birbilis, Nick; Barnard, AS

Unsupervised learning and pattern recognition in alloy design

journal contribution

posted on 2025-04-11, 03:26 authored by N Bhat, Nick BirbilisNick Birbilis, AS Barnard

Metal alloys are important for a variety of industrial applications but occupy large combinatorial design spaces. Pattern recognition provides unique opportunities to group and simplify alloy data prior to property prediction.

History

Journal

Digital Discovery

Volume

3

Pagination

2396-2416

Location

London, Eng.

Open access

Yes

ISSN

2635-098X

eISSN

2635-098X

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Issue

12

Publisher

Royal Society of Chemistry

Publication URL

http://dx.doi.org/10.1039/d4dd00282b

Unsupervised learning and pattern recognition in alloy design

History

Journal

Volume

Pagination

Location

Open access

ISSN

eISSN

Language

Publication classification

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Publisher

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