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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| 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 |