Monte Carlo simulations of particle positions for densely packed multispecies sticky particles

Abstract

The use of the Monte Carlo method to generate particle positions is important in both forward- and inverse-scattering problems of microwave and optical waves in dense media. The generated realizations of a random heterogeneous medium can be used for the numerical solutions of Maxwell's equations. In this paper, we perform Monte Carlo simulations of densely packed sticky panicles that have diversity in both size and surface adhesion. The simulation algorithm allows a particle to break or form bonds with other particles during the Monte Carlo displacement. Monte Carlo simulation results are, demonstrated to be in good agreement with Percus-Yevick pair distribution functions. © 2001 John Wiley & Sons, Inc..