Entropic lattice Boltzmann method for general anisotropic advection--diffusion
Jingsen Feng, Jing Leng, Jingchao Jiang, Xu Chu

TL;DR
This paper introduces a local entropic lattice Boltzmann method for accurately simulating general anisotropic advection--diffusion processes, even with high tensor contrasts and rotated principal axes.
Contribution
It develops a novel discretization scheme that handles rotated, heterogeneous, and dynamically coupled anisotropic tensors with high accuracy and stability.
Findings
Validated on 3D benchmarks including Gaussian plumes and Fourier modes.
Achieved accurate simulations with anisotropy ratios up to 10^4.
Applied to Taylor dispersion and Rayleigh--Bénard convection, demonstrating robustness.
Abstract
Many transport processes exhibit direction-dependent diffusion, described macroscopically by the full-tensor anisotropic advection--diffusion equation (ADE). Numerical discretization is demanding when the principal axes are rotated relative to the mesh, since mixed derivatives and oblique fluxes amplify grid-orientation errors under large tensor contrasts. This paper develops a local entropic lattice Boltzmann discretization for the general anisotropic ADE. The non-equilibrium population is split into a first-order flux sector and a residual ghost sector. The diffusion tensor is imposed through local tensorial relaxation of the flux, while higher-order kinetic content is controlled by an ADE-corrected entropic stabilizer with positivity fallback. Chapman--Enskog analysis shows the scheme recovers the target full-tensor equation with a discrete-time diffusivity relation between the…
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