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
Topics & Concepts
QuinaryElectronegativityTernary operationDiffusionless transformationAtomic radiusNickel titaniumBinary numberMaterials scienceShape-memory alloyThermodynamicsMachine learningAlgorithmStatistical physicsComputer scienceArtificial intelligenceMartensiteMathematicsMetallurgyPhysicsQuantum mechanicsArithmeticMicrostructureProgramming languageAlloyShape Memory Alloy TransformationsHigh Entropy Alloys Studies