Brownian dynamics of many-body systems

Authors:
  • KGKevin J. Gaylor
    Kevin J. Gaylor
  • ISIan K. Snook
    Ian K. Snook
  • WMWilliam J. Van Megen
    William J. Van Megen
  • RWRobert O. Watts
    Robert O. Watts
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Abstract
An investigation is made of the application of the Brownian Dynamics computer simulation technique, introduced by Ermak, to systems of strongly interacting particles. It is shown that the technique gives values of equilibrium properties which are in good agreement with those derived from the Monte Carlo technique.Furthermore, neither the equilibrium nor dynamic properties showed a noticeable dependence on the number of particles used in the simulation. The results are also quite insensitive to the point at which the long-ranged pair potential used in this study is truncated. Results are presented for the van Hove self and distinct correlation functions, the mean square displacement and the diffusion coefficient as a function of the main physical parameters characterizing the system.