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Atomic Diffusion in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>α</mml:mi></mml:math>-iron across the Curie Point: An Efficient and Transferable <i>Ab Initio</i>–Based Modeling Approach

Anton Schneider, Chu‐Chun Fu, Frédéric Soisson, Cyrille Barreteau

2020Physical Review Letters37 citationsDOIOpen Access PDF

Abstract

An accurate prediction of atomic diffusion in Fe alloys is challenging due to thermal magnetic excitations and magnetic transitions. We propose an efficient approach to address these properties via a Monte Carlo simulation, using ab initio-based effective interaction models. The temperature evolution of self- and Cu diffusion coefficients in α-iron are successfully predicted, particularly the diffusion acceleration around the Curie point, which requires a quantum treatment of spins. We point out a dominance of magnetic disorder over chemical effects on diffusion in the very dilute systems.

Topics & Concepts

Curie temperatureSpinsDiffusionAb initioCuriePhysicsCondensed matter physicsMaterials scienceFerromagnetismThermodynamicsQuantum mechanicsAdvanced Materials Characterization TechniquesMicrostructure and mechanical propertiesTheoretical and Computational Physics
Atomic Diffusion in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>α</mml:mi></mml:math>-iron across the Curie Point: An Efficient and Transferable <i>Ab Initio</i>–Based Modeling Approach | Litcius