Machine-learning synergy in high-entropy alloys: A review

Machine-learning synergy in high-entropy alloys: A review

High-entropy alloys (HEAs) have attracted significant attention because of their exceptional mechanical properties and potential for discovering new compositions. However, owing to their complex chemical makeup, understanding the underlying physical mechanisms and designing novel alloys through trad...

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Bibliographic Details
Main Authors: Sally Elkatatny, Walaa Abd-Elaziem, Tamer A. Sebaey, Moustafa A. Darwish, Atef Hamada
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Journal of Materials Research and Technology
Subjects:
High-entropy alloys
Machine learning
Predictive modelling
Phase prediction
Mechanical properties prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785424023044
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