Different from the finite volume method, the Lattice Boltzmann Method
(LBM) divides the macroscopic fluid into a series of fluid particles, which would act as collision and migration in the discrete grid model node .
This software uses a special discretization of the Lattice Boltzmann method
(LBM) on a variable resolution Cartesian volumetric grid, which is automatically generated by the software.
Lattice Boltzmann method
and its applications to fluid flow problems.
A review of the fundamentals of the Lattice Boltzmann Method
can be found in .
A fast and robust level set method for image segmentation using fuzzy clustering and lattice Boltzmann method
," IEEE Trans.
Although the lattice Boltzmann method
is original from a microscopic description of the fluid behavior, the macroscopic continuity (6) and momentum equations (7) can be recovered from it through the Chapman-Enskog multiscale analysis .
The Lattice Boltzmann method
 (LBM) is one of the most important achievements in recent 20 years of computational fluid mechanics and different from the traditional numerical methods  for fluid calculation and modeling method describing the movement of the molecule.
nanoFluidX is based on a particle-based method for fluid flow simulation, and ultraFluidX applies the Lattice Boltzmann Method
to study external aerodynamics.
Analysis of the effect of stent porosity and shape on saccular intracranial aneurysm using the Lattice Boltzmann method
Among the topics are recent developments in microparticle image velocimetry, the lattice Boltzmann method
and its applications in microfluidics, system integration in microfluidics, microfluidics based on magnetic particles, and the enhancement of methane solubility in water confined to nanoscale pores.
A double-population lattice Boltzmann method
whit non-uniform mesh for the simulation of natural convection in square cavity.
In recent years, the lattice Boltzmann method
(LBM) has emerged as a powerful alternative computational approach for simulating fluid flows and physics (Chen and Matthaeus 1992; Chen and Doolen 1998; Succi 2001; Sukop and Thorne 2005).