Numerical study of density functional theory with mean spherical approximation for ionic condensation in highly charged confined electrolytes.

Phys Rev E Stat Nonlin Soft Matter Phys

Sorbonne Universités, UPMC University Paris 06, UMR 8234 PHENIX, 75005 Paris, France and CNRS, UMR 8234 PHENIX, 75005 Paris, France.

Published: June 2014

We investigate numerically a density functional theory (DFT) for strongly confined ionic solutions in the canonical ensemble by comparing predictions of ionic concentration profiles and pressure for the double-layer configuration to those obtained with Monte Carlo (MC) simulations and the simpler Poisson-Boltzmann (PB) approach. The DFT consists of a bulk (ion-ion) and an ion-solid part. The bulk part includes nonideal terms accounting for long-range electrostatic and short-range steric correlations between ions and is evaluated with the mean spherical approximation and the local density approximation. The ion-solid part treats the ion-solid interactions at the mean-field level through the solution of a Poisson problem. The main findings are that ionic concentration profiles are generally better described by PB than by DFT, although DFT captures the nonmonotone co-ion profile missed by PB. Instead, DFT yields more accurate pressure predictions than PB, showing in particular that nonideal effects are important to describe highly confined ionic solutions. Finally, we present a numerical methodology capable of handling nonconvex minimization problems so as to explore DFT predictions when the reduced temperature falls below the critical temperature.

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http://dx.doi.org/10.1103/PhysRevE.89.062302DOI Listing

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