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On Direct Simulation Quasi-Monte Carlo Methods

40th Thermophysics Conference, 2008
Equations derived from kinetic theory often express a desired quantity in terms of a probability density. For example, the Direct Simulation Monte Carlo (DSMC) method is a well-known powerful technique for computational rarefied gas dynamics. It uses an algorithm that begins with an initial distribution and, through random sampling, converges to a ...
Jose Camberos   +2 more
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Fluctuating hydrodynamics and direct simulation Monte Carlo

AIP Conference Proceedings, 2012
Thermodynamic fluctuations are significant at microscopic scales even when hydrodynamic transport models (i.e., Navier-Stokes equations) are still accurate; a well-known example is Rayleigh scattering, which makes the sky blue. Interesting phenomena also appear in non-equilibrium systems, such as the enhancement of diffusion during mixing due to the ...
Kaushik Balakrishnan   +3 more
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 Direct determination of liquid phase coexistence by Monte Carlo simulations

Physical Review E, 2006
A formalism to determine coexistence points by means of Monte Carlo simulations is presented. The general idea of the method is to perform a simulation simultaneously in several unconnected boxes which can exchange particles. At equilibrium, most of the boxes will be occupied by a homogeneous phase.
Zweistra, H.J.A., Besseling, N.A.M.
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Distributional Direct Simulation Monte Carlo Methods

10th AIAA/ASME Joint Thermophysics and Heat Transfer Conference, 2010
The Direct Simulation Monte Carlo (DSMC) method has gained popularity in recent years for treatment of flows in which the assumptions behind the continuum equations of fluid mechanics break down. In traditional DSMC methods, simulated particles may possess only a single velocity. This representation leads to a nonphysical representation of the velocity
Christopher Schrock, Aihua Wood
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Quiet direct simulation Monte-Carlo with random timesteps

Journal of Computational Physics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Mean scattering angle method for direct simulation Monte Carlo

Physical Review E, 2022
In order to predict the postcollision velocities in the binary collision, one needs the deflection angle given by the solution of the trajectory equation of classical mechanics. In the direct simulation Monte Carlo, it has been conventional to assume that the scattering is isotropic taking the hard sphere scattering law (the variable hard sphere model).
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Direct Monte-Carlo simulations in a gas centrifuge

AIP Conference Proceedings, 2001
The study is related to the centrifugation process for isotope separation. In a gas centrifuge, the major part of the rotating gas is modeled by fluid equations with this gas flow described by suitable Navier-Stokes. Nevertheless, a kinetic description of the gas is necessary for the feed gas expansion from the central pipe, and for the residual gas ...
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Direct Simulation Monte Carlo and Granular Gases

2022
Granular systems are ensembles of inelastic particles which dissipate energy during collisions. Granular systems serve as excellent models for a wide variety of materials such as sand, soils, corn, and powder. A rather remarkable property of granular systems is when excited, whether due to an interstitial fluid or via the boundaries, the granular ...
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Time step truncation in direct simulation Monte Carlo for semiconductors

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 2005
PurposeTo provide an accurate analysis of the systematic error introduced by the constant time technique free flight mechanism, due to the choice of the time step and number particles.Design/methodology/approachA homogeneous (bulk) silicon semiconductor is studied by using direct simulation Monte Carlo (DSMC).FindingsThe systematic error turns out to ...
MUSCATO, Orazio, WAGNER W.
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Graphics processing unit based direct simulation Monte Carlo

SIMULATION, 2011
The direct simulation Monte Carlo (DSMC) is a computational method for fluid mechanics simulation in the regime of rarefied gas flow. It is a numerical solution of the Boltzmann equation based on an individual particle basis. Accurate simulations typically require particle numbers in the range of hundreds of thousands to millions.
Denis V. Gladkov   +3 more
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