An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction

An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction

High-entropy alloys (HEAs) have attracted significant attention due to their excellent mechanical properties and broad application prospects. However, accurately predicting their mechanical behavior remains challenging because of the vast compositional design space and complex multi-element interact...

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Bibliographic Details
Main Authors: Songpeng Zhao, Zeyuan Li, Changshuai Yin, Zhaofu Zhang, Teng Long, Jingjing Yang, Ruyue Cao, Yuzheng Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Materials
Subjects:
high-entropy alloys
stacking ensemble learning
mechanical property prediction
SHAP analysis
yield strength
elongation
Online Access:https://www.frontiersin.org/articles/10.3389/fmats.2025.1601874/full
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