2001
DOI: 10.1107/s0108767301009102
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Coincidence site lattice theory of multicrystalline ensembles

Abstract: It is shown how the coincidence site lattice theory, developed originally for grain boundaries and extended recently to triple junctions, can be applied to more complex ensembles of crystallites with the cubic crystal structure. These include quadruple points, multiple junctions of grains and other multicrystal assemblies. Application of the theory is demonstrated on hypothetical examples, which may help elucidate some practically important problems.

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Cited by 43 publications
(9 citation statements)
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“…It follows that the volume of the CSL n lattice is AE multi = 3 3n . This result could also probably be derived from the general formula suggested by Gertsman (2001b).…”
Section: Figuresupporting
confidence: 66%
“…It follows that the volume of the CSL n lattice is AE multi = 3 3n . This result could also probably be derived from the general formula suggested by Gertsman (2001b).…”
Section: Figuresupporting
confidence: 66%
“…Another way to classify gain boundaries is by the degree of fit ( ) between the lattice structures of the two grains, which is expressed in the coincident site lattice (CSL) theory by the reciprocal of the ratio of coincidence sites to the total number of sites. 9 Grain boundaries with high-valus (higher than 30) are regarded as random grain boundaries. On the other hand, the grain boundaries with low-values (less than 30) are categorized as CSL boundaries.…”
mentioning
confidence: 99%
“…Several authors have speculated that longer-range correlations may exist [10][11][12], but apart from our most recent study on quadruple junction character [9], there has been no quantitative exploration of this issue. In this note, we offer the first study of correlations at the second and third nearest-neighbor levels in two-dimensional (2D) grain boundary networks, and point to critical issues for the development of a comprehensive percolation theory for grain boundary networks.…”
Section: Introductionmentioning
confidence: 89%