Litcius/Paper detail

Predicting atomic diffusion in concentrated magnetic alloys: The case of paramagnetic Fe-Ni

Kangming Li, Chu‐Chun Fu, Maylise Nastar, Frédéric Soisson

2023Physical review. B./Physical review. B17 citationsDOI

Abstract

Predicting atomic diffusion in concentrated magnetic systems is challenging due to thermal magnetic effects and complex magnetochemical interplay. We propose an efficient approach via kinetic Monte Carlo using ab initio parametrized models. We demonstrate its accuracy in the case of Fe-Ni alloys, where we successfully predict and explain the weak composition dependence of diffusion coefficients due to a compensation of distinct contributions of their constituents. The diffusion-behavior difference between the paramagnetic and the magnetic ground states is elucidated, evidencing the role of magnetic disorder.

Topics & Concepts

ParamagnetismDiffusionMaterials scienceAb initioCondensed matter physicsAb initio quantum chemistry methodsKinetic Monte CarloAtomic diffusionMonte Carlo methodChemical physicsThermodynamicsPhysicsMoleculeQuantum mechanicsStatisticsMathematicsMagnetic properties of thin filmsnanoparticles nucleation surface interactionsAdvanced Chemical Physics Studies