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11
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3843052729
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Height configurations have also been derived (for buried interfaces) from dark-field transmission-electron-microscope images: see X. Chen and J. M. Gibson, Phys. Rev. Lett. 81, 4919 (1998).
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85036373515
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Our treatment is limited to a single-valued height field; thus coarse graining of (Formula presented) is mandatory when overhangs are present at atomic length scales, and we do not consider the case when overhangs persist to large scales
-
Our treatment is limited to a single-valued height field; thus coarse graining of (Formula presented) is mandatory when overhangs are present at atomic length scales, and we do not consider the case when overhangs persist to large scales.
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13
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85036418094
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A.-L. Barabási and H. E. Stanley, Fractal Concepts in Surface Growth (Cambridge University Press, Cambridge, 1995); see also
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A.-L. Barabási and H. E. Stanley, Fractal Concepts in Surface Growth (Cambridge University Press, Cambridge, 1995); see
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85036256104
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For lattice models that map to logarithmically rough Gaussian surfaces, the probability that two loops with radii larger than R have a distance of closest approach smaller than r vanishes as a power of (Formula presented) (Ref
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For lattice models that map to logarithmically rough Gaussian surfaces, the probability that two loops with radii larger than R have a distance of closest approach smaller than r vanishes as a power of (Formula presented) (Ref. 34).
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33
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85036310793
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The equality in Eq. (4.5) depends on s and G being defined with compatible normalizations, which is the case for lattice height models
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The equality in Eq. (4.5) depends on s and G being defined with compatible normalizations, which is the case for lattice height models.
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35
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edited by C. Domb and J. L. Lebowitz, Academic, London
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also see p. 1702
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probably provides a faster crossover to the asymptotic behavior than the single-step model
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In retrospect, the Kim-Kosterlitz model [J. M. Kim and J. M. Kosterlitz, Phys. Rev. Lett. 62, 2289 (1989)] probably provides a faster crossover to the asymptotic behavior than the single-step model.
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This makes the algorithm nonlocal, since the rate at which deposition occurs on an allowed site depends on the number of such sites in the rest of the system
-
This makes the algorithm nonlocal, since the rate at which deposition occurs on an allowed site depends on the number of such sites in the rest of the system.
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49
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edited by D. Beysens, N. Boccara, and G. Forgacs, Nova Science, New York
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85036359809
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The ensemble distribution functions (for many independent samples) of the systemwide height variance is another characterization of roughness; see Ref. 35
-
The ensemble distribution functions (for many independent samples) of the systemwide height variance is another characterization of roughness; see Ref. 35.
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