Machine learning guided phase and hardness controlled AlCoCrCuFeNi high-entropy alloy design
Machine learning(ML) assisted high-entropy alloys(HEA) design is dedicated to solving the problem of long period and high cost of designing by traditional trial and error experimental methods. The classic AlCoCrCuFeNi HEA was taken as the research object. The phase structure prediction model and har...
Main Authors: | , , , , , |
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Format: | Article |
Language: | zho |
Published: |
Journal of Materials Engineering
2024-01-01
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Series: | Cailiao gongcheng |
Subjects: | |
Online Access: | http://jme.biam.ac.cn/CN/10.11868/j.issn.1001-4381.2023.000108 |