Combining Machine Learning and Molecular Dynamics to Predict Mechanical Properties and Microstructural Evolution of FeNiCrCoCu High-Entropy Alloys

Combining Machine Learning and Molecular Dynamics to Predict Mechanical Properties and Microstructural Evolution of FeNiCrCoCu High-Entropy Alloys

Compared with traditional alloys, high-entropy alloys have better mechanical properties and corrosion resistance. However, their mechanical properties and microstructural evolution behavior are unclear due to their complex composition. Machine learning has powerful data processing and analysis capab...

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Bibliographic Details
Main Authors: Jingui Yu, Faping Yu, Qiang Fu, Gang Zhao, Caiyun Gong, Mingchao Wang, Qiaoxin Zhang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Nanomaterials
Subjects:
high entropy alloy
machine learning
molecular dynamics
mechanical properties
Online Access:https://www.mdpi.com/2079-4991/13/6/968

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https://www.mdpi.com/2079-4991/13/6/968

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