Machine learning-driven insights into phase prediction for high entropy alloys

The unique properties of high-entropy alloys (HEAs) have attracted considerable attention, largely due to their dependence on the choice among three distinct phases: solid solution (SS), intermetallic compound (IM), or a blend of both (SS + IM). For this reason, precise phase prediction is key to id...

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Bibliografiske detaljer

Principais autores:	Reliance Jain, Sandeep Jain, Sheetal Kumar Dewangan, Lokesh Kumar Boriwal, Sumanta Samal
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2024-12-01
Serier:	Journal of Alloys and Metallurgical Systems
Fag:	High entropy alloys Phase prediction Machine learning. Model validation New alloy design
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2949917824000579
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