Litcius/Paper detail

Deciphering chemical ordering in High Entropy Materials: A machine learning-accelerated high-throughput cluster expansion approach

Guillermo Vazquez, Daniel Sauceda, Raymundo Arróyave

2024Acta Materialia27 citationsDOI

Topics & Concepts

Materials scienceCluster expansionCluster (spacecraft)ThroughputHigh entropy alloysStatistical physicsThermodynamicsComputer scienceMicrostructureMetallurgyPhysicsTelecommunicationsWirelessProgramming languageMachine Learning in Materials ScienceX-ray Diffraction in CrystallographyChalcogenide Semiconductor Thin Films