Computational Materials Science2022,Vol.21110.DOI:10.1016/j.commatsci.2022.111490

Efficiency of the vacancy pipe diffusion along an edge dislocation in MgO

Reis, Marie Landeiro Dos Giret, Yvelin Carrez, Philippe Cordier, Patrick
Computational Materials Science2022,Vol.21110.DOI:10.1016/j.commatsci.2022.111490

Efficiency of the vacancy pipe diffusion along an edge dislocation in MgO

Reis, Marie Landeiro Dos 1Giret, Yvelin 1Carrez, Philippe 1Cordier, Patrick1
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作者信息

  • 1. Univ Lille
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Abstract

This study focuses on the mechanisms of pipe diffusion and the kinetic of point defect diffusion along dislocation line in MgO. We developed a numerical approach, based on atomic scale calculations and the use of the elasticity theory, to determine the migration energies of point defects. The kinetic of diffusion along the dislocation is then evaluated according to a on-lattice atomistic kinetic Monte Carlo algorithm informed by atomistic simulations. We show that edge dislocation in MgO behaves as a strong sink for vacancies which, combined with a lower migration energy at dislocation core region, strongly enhances the diffusion of point defect in the vicinity of the dislocation with respect to the bulk material. At low and intermediate temperatures, pipe diffusion results in an increase of the diffusivity of several order of magnitude. Accounting more precisely for the effect of pipe diffusion may therefore be a key to reconcile the experimentally measured scattering of diffusivity in MgO.

Key words

Dislocation/Vacancies/Pipe diffusion/Kinetic Monte Carlo/Atomistic simulations/CATION SELF-DIFFUSION/ELASTIC DIPOLE TENSOR/INTERACTION ENERGIES/OXYGEN DIFFUSION/BAND METHOD/MAGNESIUM/DEFECTS/CRYSTALS/CLIMB/OXIDE

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量2
参考文献量50
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