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Machine learning-based prediction of phases in high-entropy alloys: A data article
A systematic framework for choosing the most determinant combination of predictor features and solving the multiclass phase classification problem associated with high-entropy alloy (HEA) was recently proposed [1]. The data associated with that research paper, titled “Machine learning-based predicti...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477136/ https://www.ncbi.nlm.nih.gov/pubmed/34611534 http://dx.doi.org/10.1016/j.dib.2021.107346 |