Machine learning of phases and mechanical properties in complex concentrated alloys
Abstract
The mechanical properties of complex concentrated alloys (CCAs) depend on their forming phases and corresponding structures, the prediction of the phase formation for a given CCA is essential to its discovery and applications. 541 sample were collected from previous studies, comprising 61 amorphous, 164 single-phase crystalline, and 361 multi-phases crystalline CCAs. We proposed three classification models to category and understand the phase...
Paper Details
Title
Machine learning of phases and mechanical properties in complex concentrated alloys
Published Date
Oct 1, 2021
Volume
87
Pages
133 - 142
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