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A Monte Carlo simulation of coagulation

Alejandro L. Garcia, Christian van den Broeck, Marc Aertsens and Roger Serneels

Physica A: Statistical Mechanics and its Applications, 1987, vol. 143, issue 3, 535-546

Abstract: A Monte Carlo simulation technique is described for the study of the coagulation of suspended particles. The method is computationally efficient since the particle trajectories are not used to determine coagulations. Instead, pairs of particles are assigned probabilities to coagulate and the evolution is computed as a stochastic Markov game. We also describe a simple analytic method to obtain the stationary distribution of sizes for the various mechanisms of relative particle motion. It is demonstrated that the simulation yields the correct stationary size distribution independent of initial condition.

Date: 1987
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:143:y:1987:i:3:p:535-546

DOI: 10.1016/0378-4371(87)90164-6

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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