An efficient dissipative particle dynamics-based algorithm for simulating electrolyte solutions

TL;DR

This paper introduces a computationally efficient DPD-based algorithm for simulating electrolyte solutions, combining fluid dynamics and ionic concentration evolution, especially suited for high salt concentration systems, demonstrated through electro-osmotic flow simulations.

Contribution

The paper presents a novel DPD-based simulation method that efficiently models electrolyte solutions with high salt concentrations, integrating ionic and fluid dynamics.

Findings

Method accurately predicts electro-osmotic flow over superhydrophobic surfaces.

Results align well with recent theoretical predictions.

Algorithm reduces computational costs for high salt concentration systems.

Abstract

We propose an efficient simulation algorithm based on the dissipative particle dynamics (DPD) method for studying electrohydrodynamic phenomena in electrolyte fluids. The fluid flow is mimicked with DPD particles while the evolution of the concentration of the ionic species is described using Brownian pseudo particles. The method is designed especially for systems with high salt concentrations, as explicit treatment of the salt ions becomes computationally expensive. For illustration, we apply the method to electro-osmotic flow over patterned, superhydrophobic surfaces. The results are in good agreement with recent theoretical predictions.