Machine Learning-Enabled Prediction and Mechanistic Analysis of Compressive Yield Strength–Hardness Correlation in High-Entropy Alloys

Machine Learning-Enabled Prediction and Mechanistic Analysis of Compressive Yield Strength–Hardness Correlation in High-Entropy Alloys

High-entropy alloys (HEAs) represent a paradigm-shifting material system offering vast compositional space for tailoring mechanical properties. The yield strength and hardness are critical performance metrics, yet their interrelationships in diverse HEAs remain incompletely understood, partly due to...

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Bibliographic Details
Main Authors: Haiyu Wan, Baobin Xie, Hui Feng, Jia Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Metals
Subjects:
high-entropy alloys
yield strength
hardness
machine learning
correlation analysis
Online Access:https://www.mdpi.com/2075-4701/15/5/487
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