Machine learning guided BCC or FCC phase prediction in high entropy alloys

Machine learning guided BCC or FCC phase prediction in high entropy alloys

High entropy alloys （HEAs） have excellent properties because they can form simple solid solution (SS) phases, including body-centered cubic (BCC) phase, face-centered cubic (FCC) phase, or FCC + BCC phase, so phase prediction is the first step in alloy design. In current research, machine learning (...

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Bibliographic Details
Main Authors: Zhongping He, Huan Zhang, Hong Cheng, Meiling Ge, Tianyu Si, Lun Che, Kaiyuan Zheng, Lingrong Zeng, Qingyuan Wang
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Journal of Materials Research and Technology
Subjects:
Machine learning
High entropy alloys
Phase structure
Prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785424002588

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http://www.sciencedirect.com/science/article/pii/S2238785424002588

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