Published February 27, 2015 | Version v1
Journal article

Electric Double-Layer Structure in Primitive Model Electrolytes. Comparing Molecular Dynamics with Local-Density Approximations

  • 1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  • 2. Univ. of California, Santa Barbara, CA (United States)
  • 3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Description

We evaluate the accuracy of local-density approximations (LDAs) using explicit molecular dynamics simulations of binary electrolytes comprised of equisized ions in an implicit solvent. The Bikerman LDA, which considers ions to occupy a lattice, poorly captures excluded volume interactions between primitive model ions. Instead, LDAs based on the Carnaha-Starling (CS) hard-sphere equation of state capture simulated values of ideal and excess chemical potential profiles extremely well, as is the relationship between surface charge density and electrostatic potential. Excellent agreement between the EDL capacitances predicted by CS-LDAs and computed in molecular simulations is found even in systems where ion correlations drive strong density and free charge oscillations within the EDL, despite the inability of LDAs to capture the oscillations in the detailed EDL profiles

Availability note (English)

Available from: DOI:10.1021/la5048936; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo period from OSTI using http://www.osti.gov/pages/biblio/1235740

Additional details

Publishing Information

Journal Title
Langmuir
Journal Volume
31
Journal Issue
11
Journal Page Range
p. 3553-3562
ISSN
0743-7463

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
47069321
Subject category
S74: ATOMIC AND MOLECULAR PHYSICS; S36: MATERIALS SCIENCE;
Descriptors DEI
APPROXIMATIONS; ELECTROLYTES; EQUATIONS OF STATE; LAYERS; MOLECULAR DYNAMICS METHOD; SIMULATION
Descriptors DEC
CALCULATION METHODS; EQUATIONS

Optional Information

Contract/Grant/Project number
AC52-07NA27344; AC52-06NA25396
Funding organization
USDOE (United States)
Secondary number(s)
LA-UR--14-28921; OSTIID--1235740