Machine-Learning-Based Composition Analysis of the Stability of V–Cr–Ti Alloys
Machine learning methods allow the prediction of material properties, potentially using only the elemental composition of a molecule or compound, without the knowledge of molecular or crystalline structures. Herein, a composition-based machine learning prediction of the material properties of V–Cr–T...
Main Author: | Katsuaki Tanabe |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
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Series: | Journal of Nuclear Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-4362/4/2/24 |
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