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Inverse design of high-entropy superalloys using machine learning and generative artificial Intelligence
François Rousseau, Thierry Belmonte, Frédéric Sur, Alexandre Nominé
Izvirni znanstveni članek
Oznake: visokoentropijske superzlitine;odkrivanje materialov;high-entropy superalloys;materials discovery;inverse design;computational materials;
We introduce a structure-agnostic inverse-design workflow that turns heterogeneous literature and database evidence into experiment-prioritized shortlists of high-temperature high-entropy superalloy candidate chemistries. Unlike most data-driven high-entropy alloy (HEA) design studies that optimize ...
Leto: 2026 Vir: Institut Jožef Stefan (IJS)
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