Inhomogeneous anisotropic percolation: Two-dimensional numerical threshold analysis

Authors

Yuris A. Dzenis, University of Nebraska-LincolnFollow
S. P. Joshi, University of Texas at Arlington, Arlington, Texas

Date of this Version

2-1994

Comments

Published in PHYSICAL REVIEW B vol. 49, no. 5. Copyright (c) 1994 The American Physical Society. Used by permission.

Abstract

Monte Carlo simulations of percolation on a square lattice with anisotropic inhomogeneous probability distribution are reported. Finite-size scaling is used for data analysis. As inhomogeneity increases, the critical probability decreases; whereas the correlation-length exponent remains, within computation errors, the same as in classical two-dimensional percolation.