Literature DB >> 26877718

MEAN-FIELD THEORY AND COMPUTATION OF ELECTROSTATICS WITH IONIC CONCENTRATION DEPENDENT DIELECTRICS.

B O Li1, Jiayi Wen2, Shenggao Zhou3.   

Abstract

We construct a mean-field variational model to study how the dependence of dielectric coefficient (i.e., relative permittivity) on local ionic concentrations affects the electrostatic interaction in an ionic solution near a charged surface. The electrostatic free-energy functional of ionic concentrations, which is the key object in our model, consists mainly of the electrostatic potential energy and the ionic ideal-gas entropy. The electrostatic potential is determined by Poisson's equation in which the dielectric coefficient depends on the sum of concentrations of individual ionic species. This dependence is assumed to be qualitatively the same as that on the salt concentration for which experimental data are available and analytical forms can be obtained by the data fitting. We derive the first and second variations of the free-energy functional, obtain the generalized Boltzmann distributions, and show that the free-energy functional is in general nonconvex. To validate our mathematical analysis, we numerically minimize our electrostatic free-energy functional for a radially symmetric charged system. Our extensive computations reveal several features that are significantly different from a system modeled with a dielectric coefficient independent of ionic concentration. These include the non-monotonicity of ionic concentrations, the ionic depletion near a charged surface that has been previously predicted by a one-dimensional model, and the enhancement of such depletion due to the increase of surface charges or bulk ionic concentrations.

Entities:  

Keywords:  Electrostatic interactions; Poisson–Boltzmann theory; concentration-dependent dielectrics; generalized Boltzmann distributions; mean-field models; nonconvex free-energy functional; numerical computation; variational analysis

Year:  2016        PMID: 26877718      PMCID: PMC4752182          DOI: 10.4310/CMS.2016.v14.n1.a10

Source DB:  PubMed          Journal:  Commun Math Sci        ISSN: 1539-6746            Impact factor:   1.120


  32 in total

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