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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...
Autores principales: | , , , |
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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/PMC10036487/ https://www.ncbi.nlm.nih.gov/pubmed/36959265 http://dx.doi.org/10.1038/s41598-023-31461-7 |