Inverse Design of High-Entropy Superalloys Using Machine Learning and Generative Artificial Intelligence

SSRN Electronic Journal 2026 Preprint Open access

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Authors: François Rousseau, Thierry Belmonte, Frédéric Sur, Alexandre Nominé
DOI: 10.2139/ssrn.6357553
Cited by: 0
References: 26

Fields of Study & Subjects

Machine Learning in Materials Science High Entropy Alloys Studies High Temperature Alloys and Creep

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint