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Physics-informed machine learning prediction of the martensitic transformation temperature for the design of “NiTi-like” high entropy shape memory alloys

Léo Thiercelin, Laurent Peltier, Fodil Meraghni

2023Computational Materials Science25 citationsDOIOpen Access PDF

Topics & Concepts

QuinaryElectronegativityTernary operationDiffusionless transformationAtomic radiusNickel titaniumBinary numberMaterials scienceShape-memory alloyThermodynamicsMachine learningAlgorithmStatistical physicsComputer scienceArtificial intelligenceMartensiteMathematicsMetallurgyPhysicsQuantum mechanicsArithmeticMicrostructureProgramming languageAlloyShape Memory Alloy TransformationsHigh Entropy Alloys Studies
Physics-informed machine learning prediction of the martensitic transformation temperature for the design of “NiTi-like” high entropy shape memory alloys | Litcius