2007
DOI: 10.1107/s0108767307017990
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Scaling behaviour of pair correlation functions for randomly faulted hexagonal close-packed structures

Abstract: Monte Carlo simulations and analytical results are used to demonstrate that the hexagonal close-packed (h.c.p.) pair correlation functions for different values of randomly distributed growth and deformation faults can be collapsed into master curves when plotted against a spatial variable, scaled with respect to a characteristic length (L). The functional dependences of L on different types of faults are found to be non-universal. A simple method for the determination of L from the measured intensity distribut… Show more

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Cited by 5 publications
(15 citation statements)
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“…Thus, s 2 < 0 corresponds to the average h.c.p. disordered stacking arrangement also as reported earlier by Tiwary & Pandey (2007a).…”
Section: Case Iii: S 2 <supporting
confidence: 89%
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“…Thus, s 2 < 0 corresponds to the average h.c.p. disordered stacking arrangement also as reported earlier by Tiwary & Pandey (2007a).…”
Section: Case Iii: S 2 <supporting
confidence: 89%
“…We did not manage to reduce the sum of two exponentials to a single exponential. The particular cases treated by Tiwary & Pandey (2007a), though, are valid and similar to the results presented here. Fig.…”
Section: The Probability Correlation Functionsupporting
confidence: 86%
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“…But the conventional methods (random-walk technique, difference equation or matrixequation methods), even if applied to the structures with a small concentration and/or random distribution of SFs, proved to be mathematically cumbersome. Satisfactory solutions have been obtained merely for only two low period polytypes, i.e., 2H and 3C [16][17][18]. Therefore, they were applied to limited number of simple cp structures [19][20][21][22][23] and few phase transformations between them [24][25][26][27][28][29][30][31].…”
Section: Introductionmentioning
confidence: 99%