A machine learning framework for discovering high entropy alloys phase formation drivers

In the past years, high entropy alloys (HEAs) witnessed great interest because of their superior properties. Phase prediction using machine learning (ML) methods was one of the main research themes in HEAs in the past three years. Although various ML-based phase prediction works exhibited high accur...

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Detalles Bibliográficos
Autores principales: Syarif, Junaidi, Elbeltagy, Mahmoud B., Nassif, Ali Bou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871219/
https://www.ncbi.nlm.nih.gov/pubmed/36704292
http://dx.doi.org/10.1016/j.heliyon.2023.e12859

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871219/
https://www.ncbi.nlm.nih.gov/pubmed/36704292
http://dx.doi.org/10.1016/j.heliyon.2023.e12859

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