Identifying intrinsic factors for ductile-to-brittle transition temperatures in Fe–Al intermetallics via machine learning

Identifying intrinsic factors for ductile-to-brittle transition temperatures in Fe–Al intermetallics via machine learning

The determination of ductile-to-brittle transition temperatures (DBTT) in intermetallic compounds is crucial for assessing their practical applications. In this study, we investigate the intrinsic factors influencing the DBTT of Fe–Al intermetallic compounds through feature engineering. We developed...

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Bibliographic Details
Main Authors: Dexin Zhu, Kunming Pan, Hong-Hui Wu, Yuan Wu, Jie Xiong, Xu-Sheng Yang, Yongpeng Ren, Hua Yu, Shizhong Wei, Turab Lookman
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Journal of Materials Research and Technology
Subjects:
Ductile-to-brittle transition
Intermetallic compounds
Machine learning
Symbolic regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785423022627

Internet

http://www.sciencedirect.com/science/article/pii/S2238785423022627

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