2007
DOI: 10.1007/s10820-007-9051-3
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The Dislocation Bias

Abstract: Bias factors for dislocations quantify the preferential diffusion of self-interstitials relative to the diffusion of vacancies to dislocations. These parameters are essential for rate theory computer codes that model nucleation and growth of voids, helium bubbles, dislocation loops, and the evolution of microstructures in materials subject to high dose irradiations. Compact formulae for these factors are derived and the accuracy of several approximations is explored.

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Cited by 72 publications
(31 citation statements)
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“…We note that the relaxation volume for a single tungsten SIA is around 1.7 Ω 0 , but for a large loop containing N interstitials the relaxation volume drops to NΩ 0 , in agreement with elasticity analysis [7,31]. Defect dipole tensors for the full cascades are given in table 6. We conclude that the relaxation volume of a cascade scales with the number of Frenkel pairs, with the DND potential giving…”
Section: Dipole Tensor For Defects Generated By a Collision Cascadesupporting
confidence: 79%
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“…We note that the relaxation volume for a single tungsten SIA is around 1.7 Ω 0 , but for a large loop containing N interstitials the relaxation volume drops to NΩ 0 , in agreement with elasticity analysis [7,31]. Defect dipole tensors for the full cascades are given in table 6. We conclude that the relaxation volume of a cascade scales with the number of Frenkel pairs, with the DND potential giving…”
Section: Dipole Tensor For Defects Generated By a Collision Cascadesupporting
confidence: 79%
“…These stresses and strains have a microscopic origin and stem from the fact that radiation defects have substantial elastic relaxation volumes [6,7], which give rise to strong local deformation of the lattice. For example, the elastic relaxation volume of a self-interstitial atom defect in tungsten, predicted by density functional theory, is Ω rel = 1.67Ω 0 , where Ω 0 is the volume of an atom, whereas the relaxation volume of a vacancy is Ω rel = −0.37Ω 0 , see e.g.…”
Section: Introductionmentioning
confidence: 99%
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“…Rate theory equations assume that defect densities are spatially homogeneous [8,9], or that they vary slowly as functions of spatial coordinates [10]. Elastic interactions are included in rate theory through the use of effective parameters, called bias factors [6,11,12]. The second approach 30 is to use kinetic Monte Carlo (kMC) simulations where defects are treated as mobile objects undergoing stochastic motion [13,14].…”
mentioning
confidence: 99%
“…Here, we introduce a new parametrization of the image interaction and a numerical quadrature scheme that gives accurate bias factors for the diffusion of point defects to spherical cavities in an isotropic elastic medium. The complementary dislocation bias factor is discussed in separate paper [4]. Ultimately, the long-range interaction can be fit with greater numerical accuracy than the environmental, material, or defect properties are known from experiments, while the quadrature scheme ensures comparable numerical precision for the dimensionless mean field bias factor.…”
Section: Introductionmentioning
confidence: 99%