Accelerated computational design of BCC refractory high entropy alloys using metaheuristics, CALPHAD, and artificial neural networks

Refractory high-entropy alloys are a novel class of materials for diverse fields. Their design has been enhanced by several empirical models, thermodynamic calculation methods, and artificial intelligence techniques, allowing continuous advancements in the search for specific properties. In this stu...

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Bibliographic Details

Published in:	Materials today communications Vol. 47; p. 113102
Main Authors:	Román-Sedano, A. Monzamodeth, Aranda, V., Hernández-Mecinas, E., Espinosa-Rangel, S., Villalobos, J., Figueroa, I.A., González, G.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2025
Subjects:	Artificial neural networks Calphad method Mechanical properties Metaheuristics algorithms Microstructure Refractory high entropy alloys Refractory high entropy alloys Mechanical properties Metaheuristics algorithms Microstructure Artificial neural networks Calphad method
ISSN:	2352-4928, 2352-4928
Online Access:	Get full text
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