A Novel Monte Carlo Approach to the Dynamics of Fluids --- Single Particle Diffusion, Correlation Functions and Phase Ordering of Binary Fluids
P.B. Sunil Kumar, Madan Rao (Institute of Mathematical Sciences,, Madras, India)

TL;DR
This paper introduces a new Monte Carlo method to simulate the late-time dynamics of 2D hard sphere fluids, analyzing particle diffusion, correlation functions, and phase separation behaviors.
Contribution
A novel Monte Carlo scheme for studying fluid dynamics, capable of handling particle interactions and adaptable to three dimensions.
Findings
Velocity autocorrelation function exhibits a long-time $t^{-1}$ tail.
Domain size $R(t)$ grows as $t^{1/2}$ in high viscosity fluids.
Crossover to $t^{2/3}$ growth in low viscosity fluids.
Abstract
We propose a new Monte Carlo scheme to study the late-time dynamics of a 2-dim hard sphere fluid, modeled by a tethered network of hard spheres. Fluidity is simulated by breaking and reattaching the flexible tethers. We study the diffusion of a tagged particle, and show that the velocity autocorrelation function has a long-time tail. We investigate the dynamics of phase separation of a binary fluid at late times, and show that the domain size grows as for high viscosity fluids with a crossover to for low viscosity fluids. Our scheme can accomodate particles interacting with a pair potential ,and modified to study dynamics of fluids in three dimensions.
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Taxonomy
TopicsTheoretical and Computational Physics · Phase Equilibria and Thermodynamics · Material Dynamics and Properties
