Distribution of randomly diffusing particles in inhomogeneous media
Yiwei Li, Osman Kahraman, Christoph A. Haselwandter

TL;DR
This paper derives deterministic lattice equations to efficiently predict the average distribution of particles diffusing in inhomogeneous media, validated by simulations, and provides analytic expressions for steady-state distributions considering various constraints.
Contribution
The authors develop a general framework of deterministic lattice equations for diffusion in inhomogeneous media, applicable in arbitrary dimensions, and analyze steady-state distributions under different conditions.
Findings
DLEs accurately match Monte Carlo simulations for transient and steady states.
Steady-state particle distribution depends mainly on lattice site count and hopping rates.
Analytic expressions for steady-state distributions under free and constrained diffusion are provided.
Abstract
Diffusion can be conceptualized, at microscopic scales, as the random hopping of particles between neighboring lattice sites. In the case of diffusion in inhomogeneous media, distinct spatial domains in the system may yield distinct particle hopping rates. Starting from the master equations (MEs) governing diffusion in inhomogeneous media we derive here, for arbitrary spatial dimensions, the deterministic lattice equations (DLEs) specifying the average particle number at each lattice site for randomly diffusing particles in inhomogeneous media. We consider the case of free diffusion with no steric constraints on the maximum particle number per lattice site as well as the case of diffusion under steric constraints imposing a maximum particle concentration. We find, for both transient and asymptotic regimes, excellent agreement between the DLEs and kinetic Monte Carlo simulations of the…
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