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Short-range order and phase stability of CrCoNi explored with machine learning potentials

Sheuly Ghosh, Vadim Sotskov, Alexander V. Shapeev, Jörg Neugebauer, Fritz Körmann

2022Physical Review Materials40 citationsDOIOpen Access PDF

Abstract

We present an analysis of temperature-dependent atomic short-range ordering and phase stability of the face-centered cubic CrCoNi medium-entropy alloy employing a combination of ab initio calculations and on-lattice machine learning interatomic potentials. Temperature-dependent properties are studied with canonical Monte Carlo simulations. At around 975 K a phase transition into an ordered $\mathrm{Cr}{(\mathrm{Ni},\mathrm{Co})}_{2}$ phase (${\mathrm{MoPt}}_{2}$-type) is found. This hitherto not reported state has an ordering energy twice as large than the ordered structures previously suggested. We show that magnetism is not responsible for the observed chemical ordering.

Topics & Concepts

Materials scienceCondensed matter physicsLattice (music)Ab initioShort range orderInteratomic potentialMagnetismPhase transitionAlloyThermodynamicsPhysicsMolecular dynamicsQuantum mechanicsMetallurgyAcousticsHigh Entropy Alloys StudiesIntermetallics and Advanced Alloy PropertiesHigh-Temperature Coating Behaviors
Short-range order and phase stability of CrCoNi explored with machine learning potentials | Litcius