A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility

A multi‐objective feature optimization strategy for developing high‐entropy alloys with optimal strength and ductility

Abstract Selecting appropriate material features is essential for effective data‐driven materials design. Here, we propose a multi‐objective feature optimization strategy that identifies feature subsets to improve both prediction accuracy and active learning efficiency for iterative experimentation....

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Bibliographic Details
Main Authors: Yan Zhang, Shewei Xin, Wei Zhou, Xiao Wang, Yangyang Xu, Yanjing Su
Format: Article
Language:English
Published: Wiley-VCH 2025-03-01
Series:Materials Genome Engineering Advances
Subjects:
feature engineering
high entropy alloys
machine learning
materials features
multi‐objective feature optimization
Online Access:https://doi.org/10.1002/mgea.70000
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