Accelerated simulation of a heavy particle in a gas of elastic spheres

Research output: Contribution to journalArticle

Abstract

A new, accelerated algorithm for a system of elastic hard spheres in which one of the particles (a colloid) is significantly heavier than the others is presented. The algorithm follows the framework of the stochastic heterogeneous multiscale method. In the limit in which the ratio between the light and the heavy particles approaches zero, the dynamics of the colloid is given by a stochastic differential equation whose drift and diffusion coefficients are not known explicitly. It is shown that these coefficients can be calculated on the fly using short-time event-driven simulations, thereby allowing us to simulate the stochastic differential equation for the colloid. The efficiency of the resulting scheme is independent of the mass ratio. A few numerical examples, which serve as a proof of principle, are presented. The examples demonstrate that our results are consistent with analytical predictions in the ideal gas limit. A result of a simulation with a dense gas is also presented.

Original languageEnglish (US)
Pages (from-to)349-361
Number of pages13
JournalMultiscale Modeling and Simulation
Volume7
Issue number1
StatePublished - 2008

Fingerprint

Colloids
colloid
colloids
Gases
Particles (particulate matter)
Stochastic Equations
Differential equations
differential equations
gases
gas
Differential equation
simulation
Simulation
Multiscale Methods
Ideal Gas
Event-driven
ideal gas
Hard Spheres
coefficients
mass ratios

Keywords

  • Averaging theorem
  • Colloids
  • Elastic collisions
  • Hard spheres
  • Heterogeneous multiscale methods
  • Multiscale algorithm
  • Stochastic simulation

ASJC Scopus subject areas

  • Modeling and Simulation
  • Chemistry(all)
  • Computer Science Applications
  • Ecological Modeling
  • Physics and Astronomy(all)

Cite this

Accelerated simulation of a heavy particle in a gas of elastic spheres. / Ariel, Gil; Vanden Eijnden, Eric.

In: Multiscale Modeling and Simulation, Vol. 7, No. 1, 2008, p. 349-361.

Research output: Contribution to journalArticle

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