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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...
Autores principales: | Kandavalli, Manjunadh, Agarwal, Abhishek, Poonia, Ansh, Kishor, Modalavalasa, Ayyagari, Kameswari Prasada Rao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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