A network simulation of anisotropic percolation
E. Guyon, J. P. Clerc, G. Giraud, J. Roussenq
Abstract
E. Guyon, J. P. Clerc, G. Giraud, J. Roussenq
Abstract
We have studied the bond percolation problem of 3D anisotropic networks characterized by the anisotropy parameter R = p∥/ p〉. A threshold shift exponent, 2.3 ± 0.1, compatible with the exponent of the 2D clusters average size is obtained by a numerical simulation. An electrical conductivity expression above threshold is established on each side of the 3 to 2D crossover probability. However, near the percolation threshold, anisotropic size effects play a very important role in the finite network experiments.
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We have studied the bond percolation problem of 3D anisotropic networks characterized by the anisotropy parameter R = p∥/ p〉. A threshold shift exponent, 2.3 ± 0.1, compatible with the exponent of the 2D clusters average size is obtained by a numerical simulation. An electrical conductivity expression above threshold is established on each side of the 3 to 2D crossover probability. However, near the percolation threshold, anisotropic size effects play a very important role in the finite network experiments.
Key concepts: Percolation (cognitive psychology), Anisotropy, Statistical physics, Percolation threshold, Percolation theory, Materials science, Physics, Optics