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Machine Learning-Based Strength Prediction for Refractory High-Entropy Alloys of the Al-Cr-Nb-Ti-V-Zr System
The aim of this work was to provide a guidance to the prediction and design of high-entropy alloys with good performance. New promising compositions of refractory high-entropy alloys with the desired phase composition and mechanical properties (yield strength) have been predicted using a combination...
Autores principales: | Klimenko, Denis, Stepanov, Nikita, Li, Jia, Fang, Qihong, Zherebtsov, Sergey |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658560/ https://www.ncbi.nlm.nih.gov/pubmed/34885366 http://dx.doi.org/10.3390/ma14237213 |
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