Abstract
Long-range power-law correlated percolation is investigated using Monte
Carlo simulations. We obtain several static and dynamic critical
exponents as functions of the Hurst exponent H, which characterizes the
degree of spatial correlation among the occupation of sites. In
particular, we study the fractal dimension of the largest cluster and
the scaling behavior of the second moment of the cluster size
distribution, as well as the complete and accessible perimeters of the
largest cluster. Concerning the inner structure and transport properties
of the largest cluster, we analyze its shortest path, backbone, red
sites, and conductivity. Finally, bridge site growth is also considered.
We propose expressions for the functional dependence of the critical
exponents on H.
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