1981Journal de physiqueOpen access

A network simulation of anisotropic percolation

E. Guyon, J. P. Clerc, G. Giraud, J. Roussenq

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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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What this paper is about

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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Available 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.

Key concepts: Percolation (cognitive psychology), Anisotropy, Statistical physics, Percolation threshold, Percolation theory, Materials science, Physics, Optics

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