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Phase prediction and experimental realisation of a new high entropy alloy using machine learning

Nearly ~ 10(8) types of High entropy alloys (HEAs) can be developed from about 64 elements in the periodic table. A major challenge for materials scientists and metallurgists at this stage is to predict their crystal structure and, therefore, their mechanical properties to reduce experimental effort...

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Detalles Bibliográficos
Autores principales: Singh, Swati, Katiyar, Nirmal Kumar, Goel, Saurav, Joshi, Shrikrishna N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036487/
https://www.ncbi.nlm.nih.gov/pubmed/36959265
http://dx.doi.org/10.1038/s41598-023-31461-7