Short-range and long-range correlations in driven dense colloidal mixtures in narrow pores
Frantisek Slanina, Miroslav Kotrla, Karel Netocny

TL;DR
This paper models driven dense colloidal mixtures in narrow pores using a generalized ASEP, revealing that long-range correlations decay algebraically with universal exponents, contrasting with traditional exponential decay predictions.
Contribution
It introduces a two-species, multi-particle-site generalization of ASEP and analyzes both short- and long-range correlations, highlighting different universality classes.
Findings
Nearest-neighbor correlations are accurately predicted by Kirkwood approximation.
Long-range correlations decay algebraically, not exponentially, with universal power-law exponents.
Two-species systems exhibit oscillating correlations with slow decay, indicating complex behavior.
Abstract
The system of driven dense colloid mixture in a tube with diameter comparable with particle size is modeled by a generalization of asymmetric simple exclusion (ASEP) model. The generalization goes in two directions: relaxing the exclusion constraint by allowing several (but few) particles on a site, and by considering two species of particles, which differ by size and transport coefficients. We calculate the nearest-neighbor correlations using a variant of Kirkwood approximation and show by comparison with numerical simulations that the approximation provides quite accurate results. However, for long-range correlations, we show that the Kirkwood approximation is useless, as it predicts exponential decay of the density-density correlation function with distance, while simulation data indicate that the decay is algebraic. For one-component system, we show that the decay is governed by a…
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