1995
DOI: 10.1016/0031-9201(94)02987-m
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Absolute ionic diffusion in MgO—computer calculations via lattice dynamics

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Cited by 44 publications
(18 citation statements)
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“…These energies compare favorably with the experimental and calculated data. Examination of the pathway taken by the migrating vacancy showed that it followed a linear route between the two sites diagonally across the face of an MgO cube, which agreed with the approximately room-temperature data calculated by Vocadlo et al 8 We now apply this approach to modeling diffusion at the grain boundary. …”
Section: B Diffusion Path For Isolated Vacancies In the Bulksupporting
confidence: 85%
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“…These energies compare favorably with the experimental and calculated data. Examination of the pathway taken by the migrating vacancy showed that it followed a linear route between the two sites diagonally across the face of an MgO cube, which agreed with the approximately room-temperature data calculated by Vocadlo et al 8 We now apply this approach to modeling diffusion at the grain boundary. …”
Section: B Diffusion Path For Isolated Vacancies In the Bulksupporting
confidence: 85%
“…Using this method, Mackrodt and Stewart 6 calculated activation energies for vacancy migration of 2.16 eV for magnesium and 2.38 eV for oxygen in bulk MgO. More recent calculations using the SS potential 28 by Vocadlo et al 8 predicted activation energies of 1.99 eV for magnesium and 2.00 eV for oxygen. Experimental activation energies for magnesium vacancy migration are available, which include values of 2.28 eV ͑Ref.…”
Section: B Diffusion Path For Isolated Vacancies In the Bulkmentioning
confidence: 99%
See 1 more Smart Citation
“…[42] The rate of O 2À diffusion is much lower than that of Mg 2þ . [43] Studies on thin films have also shown that SrO layer forms on top of MgO due to Sr out diffusion. [44] It is therefore likely that Sr out diffuses faster than the other species and exhibits enhanced oxidizing on the top surface.…”
Section: Sr Diffusivity May Be Higher Than That Of Mg and O Transportmentioning
confidence: 99%
“…Consequently, it becomes possible to calculate a very wide range of physical properties, such as the structural, dynamical, thermodynamic, and transport properties of solids, liquids and vapors for a given interaction model. The application of atomistic simulation in minerals has achieved great success, in the fields of predicting the elastic constants of MgSiO 3 -perovskite [5], calculating the heat capacity and entropy of the major phase in the mantle [6], predicting the high pressure phase transition in simple oxides such as Al 2 O 3 at high pressure [7], and analyzing the diffusion mechanisms in a variety of oxides and silicates [8,9]. The important progresses in this field have been achieved with the development of first-principle methods [10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%