Diffusion of interacting particles in discrete geometries: equilibrium and dynamical properties
T. Becker, K. Nelissen, B. Cleuren, B. Partoens, C. Van den Broeck

TL;DR
This paper investigates the equilibrium and dynamical properties of interacting particles in discrete geometries, combining analytical models and kinetic Monte Carlo simulations to understand diffusion behavior and the effects of correlations.
Contribution
It introduces new analytical expressions for diffusion coefficients considering interaction strength and compares them with simulations, highlighting when correlations significantly affect diffusion.
Findings
Maxwell-Stefan diffusion can exceed self-diffusion, a novel observation.
Diffusive behavior is similar across dimensions, with correlations decreasing in higher dimensions.
Self-diffusion scales inversely with length in long one-dimensional systems.
Abstract
We expand on a recent study of a lattice model of interacting particles [Phys. Rev. Lett. 111, 110601 (2013)]. The adsorption isotherm and equilibrium fluctuations in particle number are discussed as a function of the interaction. Their behavior is similar to that of interacting particles in porous materials. Different expressions for the particle jump rates are derived from transition state theory. Which expression should be used depends on the strength of the inter-particle interactions. Analytical expressions for the self- and transport diffusion are derived when correlations, caused by memory effects in the environment, are neglected. The diffusive behavior is studied numerically with kinetic Monte Carlo (kMC) simulations, which reproduces the diffusion including correlations. The effect of correlations is studied by comparing the analytical expressions with the kMC simulations. It…
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