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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items