Design of high bulk moduli high entropy alloys using machine learning

Design of high bulk moduli high entropy alloys using machine learning

In this work, the authors have demonstrated the use of machine learning (ML) models in the prediction of bulk modulus for High Entropy Alloys (HEA). For the first time, ML has been used for optimizing the composition of HEA to achieve enhanced bulk modulus values. A total of 12 ML algorithms were tr...

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Bibliographic Details
Main Authors: Kandavalli, Manjunadh, Agarwal, Abhishek, Poonia, Ansh, Kishor, Modalavalasa, Ayyagari, Kameswari Prasada Rao
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Least absolute shrinkage and selection operator
Machine learning
Online Access:https://hdl.handle.net/10356/173853

Internet

https://hdl.handle.net/10356/173853

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