1996
DOI: 10.1103/physreve.54.3870
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Scaling properties of a percolation model with long-range correlations

Abstract: We present the results of Monte Carlo simulations of a percolation model with long-range correlations in two and three dimensions. The correlations are generated by a fractional Brownian motion. The nature of the percolation transition in this model is discussed. The percolation thresholds and the critical exponents of the model are calculated. The exponents are found to be mostly nonuniversal and dependent on a parameter that characterizes the nature of the correlations. Some possible applications of the mode… Show more

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Cited by 100 publications
(63 citation statements)
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References 38 publications
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“…To use the properties of FBMs to obtain a correlated energy landscape, it is convenient to apply the Fourier filtering method (FFM), based on the spectral synthesis [19,20,28]. In a nutshell, the idea is to generate random Fourier coefficients, distributed according to a given density, and to subsequently apply an inverse Fourier transform to obtain the energy landscape in the spatial domain.…”
Section: A Fractional Brownian Motion By Spectral Synthesismentioning
confidence: 99%
See 1 more Smart Citation
“…To use the properties of FBMs to obtain a correlated energy landscape, it is convenient to apply the Fourier filtering method (FFM), based on the spectral synthesis [19,20,28]. In a nutshell, the idea is to generate random Fourier coefficients, distributed according to a given density, and to subsequently apply an inverse Fourier transform to obtain the energy landscape in the spatial domain.…”
Section: A Fractional Brownian Motion By Spectral Synthesismentioning
confidence: 99%
“…Here we also extend the study of the OPC to correlated lattices. As in many previous studies [18][19][20][21][22][23][24][25][26][27], spatial long-range correlated energy distributions on the lattice are accessed by fractional Brownian motion (FBM) [28] -a generalized version of the classical Brownian motion, introduced by Mandelbrot and Ness [29] -where the degree of correlation between the successive steps can be tuned.…”
Section: Introductionmentioning
confidence: 99%
“…However, not all possible underlying correlations in the local conductance distribution have been investigated. It is known that certain fractal correlation structures in the local conductances can reduce the exponent associated with the conductivity, or reduce the fractal dimensionality of the percolation backbone (Sahimi and Mukhopadhyay, 1996), but there was no corresponding effect noted on the tortuosity or optimal paths exponent. Physical arguments suggest that positive correlations will tend to shorten paths, reducing tortuosity, in accord with the general result that making all conductance magnitudes equal reduces the tortuosity of connected paths.…”
Section: Theorymentioning
confidence: 99%
“…As a consequence of these experimental findings, the percolation properties of porous structures with long-range correlations in porosity and pore size, and the impact of these correlations on transport processes, have been studied (10)(11)(12). Correlated random field generators are often used to simulate the statistical features of porous media (13).…”
Section: Introductionmentioning
confidence: 99%