Machine learning-based prediction of phases in high-entropy alloys: A data article

Machine learning-based prediction of phases in high-entropy alloys: A data article

A systematic framework for choosing the most determinant combination of predictor features and solving the multiclass phase classification problem associated with high-entropy alloy (HEA) was recently proposed [1]. The data associated with that research paper, titled “Machine learning-based predicti...

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Bibliographic Details
Main Authors: Ronald Machaka, Glenda T. Motsi, Lerato M. Raganya, Precious M. Radingoana, Silethelwe Chikosha
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Data in Brief
Subjects:
High entropy alloys
HEA microstructures
Phases
Machine learning
Deep learning
Material informatics
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340921006302

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http://www.sciencedirect.com/science/article/pii/S2352340921006302

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