Descriptors for phase prediction of high entropy alloys using interpretable machine learning
Shang Zhao, Ruihao Yuan, Weijie Liao, Yatong Zhao, Jun Wang, Jinshan Li, Turab Lookman
Abstract
The new descriptors obtain greater accuracy compared to commonly used empirical descriptors in the phase prediction of high entropy alloys, and the generalization ability of these new descriptors has been verified by experiments.
Topics & Concepts
Artificial intelligenceMachine learningHigh entropy alloysEntropy (arrow of time)Computer sciencePhase (matter)ThermodynamicsChemistryPhysicsOrganic chemistryHigh Entropy Alloys StudiesAdditive Manufacturing Materials and ProcessesAdvanced Materials Characterization Techniques