Abstract
The percolation and clustering behaviors of a system of one-component attractive square-well hard-core fluid are studied through Monte Carlo simulation. The percolation densities of the square-well particles at different temperatures are determined for particles of different well widths. Comparison of the Monte Carlo data with the Percus–Yevick solution is made. The Percus–Yevick approximation is found to yield fairly good estimates of the percolation threshold except at low temperatures and high densities. The pair-connectedness functions at different temperatures and particle densities are also obtained. A new conditional probability of particle connectedness is defined and determined from this Monte Carlo study.
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