The effects of cation–anion clustering on defect migration in MgAl2O4
Author(s) -
Richard J. Zamora,
Arthur F. Voter,
Danny Pérez,
Romain Perriot,
Blas P. Uberuaga
Publication year - 2016
Publication title -
physical chemistry chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.053
H-Index - 239
eISSN - 1463-9084
pISSN - 1463-9076
DOI - 10.1039/c6cp03931f
Subject(s) - spinel , aluminate , ion , kinetics , cluster analysis , molecular dynamics , materials science , chemical physics , range (aeronautics) , magnesium , lattice (music) , crystallography , mineralogy , chemistry , computational chemistry , computer science , metallurgy , physics , composite material , organic chemistry , machine learning , quantum mechanics , cement , acoustics
Magnesium aluminate spinel (MgAl2O4), like many other ceramic materials, offers a range of technological applications, from nuclear reactor materials to military body armor. For many of these applications, it is critical to understand both the formation and evolution of lattice defects throughout the lifetime of the material. We use the Speculatively Parallel Temperature Accelerated Dynamics (SpecTAD) method to investigate the effects of di-vacancy and di-interstitial formation on the mobility of the component defects. From long-time trajectories of the state-to-state dynamics, we characterize the migration pathways of defect clusters, and calculate their self-diffusion constants across a range of temperatures. We find that the clustering of Al and O vacancies drastically reduces the mobility of both defects, while the clustering of Mg and O vacancies completely immobilizes them. For interstitials, we find that the clustering of Mg and O defects greatly reduces O interstitial mobility, but has only a weak effect on Mg. These findings illuminate important new details regarding defect kinetics relevant to the application of MgAl2O4 in extreme environments.
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