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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Detalles Bibliográficos
Autores principales: Kandavalli, Manjunadh, Agarwal, Abhishek, Poonia, Ansh, Kishor, Modalavalasa, Ayyagari, Kameswari Prasada Rao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665368/
https://www.ncbi.nlm.nih.gov/pubmed/37993607
http://dx.doi.org/10.1038/s41598-023-47181-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665368/
https://www.ncbi.nlm.nih.gov/pubmed/37993607
http://dx.doi.org/10.1038/s41598-023-47181-x

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