We present and discuss a particle simulation method for solving the Boltzmann equation which incorporates the variance reduction ideas presented in L. L. Baker and N. G. Hadjiconstantinou [Physics of Fluids17, 051703 (2005)]. The variance reduction, achieved by simulating only the deviation from equilibrium, results in a significant computational efficiency advantage for low speed flows compared to traditional particle methods such as the direct simulation Monte Carlo (DSMC). More specifically, the proposed method can efficiently simulate arbitrarily small deviations from equilibrium (e.g., low flow speed) at a computational cost that does not scale with the magnitude of the deviation from equilibrium, while maintaining the basic algorithmic structure of DSMC.

1.
L. L.
Baker
and
N. G.
Hadjiconstantinou
, “
Variance reduction for Monte Carlo solutions of the Boltzmann equation
,”
Phys. Fluids
17
,
051703
(
2005
).
2.
G. A.
Bird
,
Molecular Gas Dynamics and the Direct Simulation of Gas Flows
(
Clarendon
,
Oxford
,
1994
).
3.
N. G.
Hadjiconstantinou
,
A. L.
Garcia
,
M. Z.
Bazant
, and
G.
He
, “
Statistical error in particle simulations of hydrodynamic phenomena
,”
J. Comput. Phys.
187
,
274
(
2003
).
4.
C.
Cercignani
,
The Boltzmann Equation and its Applications
(
Springer-Verlag
,
New York
,
1988
).
5.
W.
Wagner
, “
A convergence proof for Bird’s direct simulation Monte Carlo method for the Boltzmann equation
,”
J. Stat. Phys.
66
,
1011
(
1992
).
6.
L. L.
Baker
and
N. G.
Hadjiconstantinou
, “
Variance reduction in particle methods for solving the Boltzmann equation
,” in
Proceedings of the Fourth International Conference on Nanochannels, Microchannels and Minichannels
, paper No. ICNMM2006-96089,
2006
.
7.
T. M. M.
Homolle
, “
Efficient particle methods for solving the Boltzmann equation
,” M.S. thesis, Aeronautics and Astronautics Department,
MIT
, January
2007
.
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