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...

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Bibliografische gegevens
Hoofdauteur: Katsuaki Tanabe
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2023-04-01
Reeks:Journal of Nuclear Engineering
Onderwerpen:
Online toegang:https://www.mdpi.com/2673-4362/4/2/24