Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning

Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning

Multi-principal element alloys (MPEAs), distinguished by their complex compositions and exceptional mechanical properties, pose significant challenges for conventional predictive approaches in mechanical property optimization. This study proposes an innovative intelligent optimization algorithm (OA)...

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Bibliographic Details
Main Authors: Kang Xu, Zhengming Sun, Jian Tu, Wenwang Wu, Huihui Yang
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Journal of Materials Research and Technology
Subjects:
Alloy design
Machine learning
Feature selection
Mechanical properties
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785425005666
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