Cargando…
Phase Prediction of High-Entropy Alloys by Integrating Criterion and Machine Learning Recommendation Method
The comprehensive properties of high-entropy alloys (HEAs) are highly-dependent on their phases. Although a large number of machine learning (ML) algorithms has been successfully applied to the phase prediction of HEAs, the accuracies among different ML algorithms based on the same dataset vary sign...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105637/ https://www.ncbi.nlm.nih.gov/pubmed/35591654 http://dx.doi.org/10.3390/ma15093321 |