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Statistical Mechanics of Dissipative Particle Dynamics

Europhysics Letters (EPL) · 1995 · Vol. 30(4) · pp. 191–196
Pep EspañolPatrick B. Warren

Abstract

The stochastic differential equations corresponding to the updating algorithm of Dissipative Particle Dynamics (DPD), and the corresponding Fokker-Planck equation are derived. It is shown that a slight modification to the algorithm is required before the Gibbs distribution is recovered as the stationary solution to the Fokker-Planck equation. The temperature of the system is then directly related to the noise amplitude by means of a fluctuation-dissipation theorem. However, the correspondingly modified, discrete DPD algorithm is only found to obey these predictions if the length of the time step is sufficiently reduced. This indicates the importance of time discretisation in DPD.

Theoretical and Computational Physicsstochastic dynamics and bifurcationAdvanced Thermodynamics and Statistical MechanicsDissipative particle dynamicsFokker–Planck equationDissipative systemDiscretizationStatistical physicsStochastic differential equationDissipationStatistical mechanicsPhysicsOrdinary differential equation
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