A voting-based ensemble classifier to predict phases and crystal structures of high entropy alloys through thermodynamic, electronic, and configurational parameters

A voting-based ensemble classifier to predict phases and crystal structures of high entropy alloys through thermodynamic, electronic, and configurational parameters

This study aims to predict the various phases present in high entropy alloys (HEAs) and consequently classify their crystal structure employing multiple machine learning (ML) algorithms utilizing five thermodynamic, electronic and configurational parameters which are considered to be essential for t...

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Bibliographic Details
Main Authors: Pritam Mandal, Amitava Choudhury, Amitava Basu Mallick, Manojit Ghosh
Format: Article
Language:English
Published: Elsevier 2024-09-01
Series:Journal of Alloys and Metallurgical Systems
Subjects:
High entropy alloy
Machine learning
Computational metallurgy
Phase predictions
Ensemble classifier
Online Access:http://www.sciencedirect.com/science/article/pii/S2949917824000348

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http://www.sciencedirect.com/science/article/pii/S2949917824000348

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