Machine learning‐guided plasticity model in refractory high‐entropy alloys

Machine learning‐guided plasticity model in refractory high‐entropy alloys

Abstract Refractory high‐entropy alloys (RHEAs) represent a promising class of structural materials with significant potential for various applications. However, their limited plasticity at room temperature restricts their deformability, posing challenges for processing and industrial implementation...

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Bibliographic Details
Main Authors: Shang Zhao, Jinshan Li, Weijie Liao, Ruihao Yuan
Format: Article
Language:English
Published: Wiley-VCH 2025-06-01
Series:Materials Genome Engineering Advances
Subjects:
interpretability
machine learning
plasticity classification
refractory high‐entropy alloys
Online Access:https://doi.org/10.1002/mgea.70022
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