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...

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Detalles Bibliográficos
Autores principales: Machaka, Ronald, Motsi, Glenda T., Raganya, Lerato M., Radingoana, Precious M., Chikosha, Silethelwe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Data Article
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

Internet

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

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