Phase Prediction and Visualized Design Process of High Entropy Alloys via Machine Learned Methodology

Phase Prediction and Visualized Design Process of High Entropy Alloys via Machine Learned Methodology

High entropy alloys, which contain five or more elements in equal atomic concentrations, tend to exhibit remarkable mechanical and physical properties that are typically dependent on their phase constitution. In this work, a based leaner and four ensemble machine learning models are carried out to p...

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Bibliographic Details
Main Authors: Jin Gao, Yifan Wang, Jianxin Hou, Junhua You, Keqiang Qiu, Suode Zhang, Jianqiang Wang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Metals
Subjects:
machine learning
high entropy alloys
ensemble methods
phase prediction
visualized process
Online Access:https://www.mdpi.com/2075-4701/13/2/283

Internet

https://www.mdpi.com/2075-4701/13/2/283

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