Unsupervised learning and pattern recognition in alloy design

Ninad Bhat; Nick Birbilis; Amanda S. Barnard

doi:10.1039/d4dd00282b

journal article Open Access Jan 01, 2024

Unsupervised learning and pattern recognition in alloy design

Ninad Bhat

Nick Birbilis Amanda S. Barnard

Digital Discovery Vol. 3 No. 12 pp. 2396-2416 · Royal Society of Chemistry (RSC)

View at Publisher Save 10.1039/d4dd00282b

Abstract

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.

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Details

Published: Jan 01, 2024
Vol/Issue: 3(12)
Pages: 2396-2416
License: View

Authors

N

Ninad Bhat

School of Engineering, Australian National University, Acton, Australia

N

Nick Birbilis

Faculty of Science, Engineering and Built Environment, Deakin University, Waurn Ponds, Australia

A

Amanda S. Barnard

School of Computing, Australian National University, Acton, Australia

Cite This Article

Ninad Bhat, Nick Birbilis, Amanda S. Barnard (2024). Unsupervised learning and pattern recognition in alloy design. Digital Discovery, 3(12), 2396-2416. https://doi.org/10.1039/d4dd00282b

Unsupervised learning and pattern recognition in alloy design

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