Abstract
Stochastic Rotation Dynamics (SRD) is a mesoscale simulation technique that captures hydrodynamic couplings in simple and complex fluids. It can be used in various hydrodynamic regimes and it is not restricted to specific geometries. We show here that SRD using the collisional coupling approach to capture momentum transfer between the semi-implicit solvent and the explicit counterions, is able to describe electro-kinetic effects, i.e. coupled electrostatic and hydrodynamic phenomena occurring at charged solid–liquid interfaces. The method is first validated for electro-osmosis in the simple case of a slit pore without added salt, for which an analytical solution of the Helmholtz–Smoluchowski theory is known, in a physical regime where this mean-field theory is valid. We then discuss the predictions of SRD for electro-osmosis beyond the range of validity of the Helmholtz–Smoluchowski (or Poisson–Nernst–Planck) theory, in particular due to ion–ion correlations at the surface, to charge localisation on discrete sites at the solid surface and to surface charge heterogeneity, that all contribute to a reduction of the electro-osmotic flow. In order to disentangle these last two aspects, we also investigate at the mean-field level a simple system with alternate charged and neutral stripes, using lattice-Boltzmann electro-kinetics simulations. Overall, this work opens new perspectives for the use of SRD as a generic mesoscopic simulation method for soft matter problems, in particular under confinement, since in practice many interfaces between fluids and solids are charged.
Acknowledgements
The authors would like express their gratitude to Jean-Pierre Hansen for his guidance and their pleasure to enjoy him as a colleague at UPMC. Benjamin Rotenberg is particularly indebted to Jean-Pierre for his continuing scientific inspiration and friendship, from his first interactions with him as a visiting student in Cambridge to a shared office in Paris. This work was supported by French state funds managed by the Agence Nationale de la Recherche (ANR) within the Investissements d’Avenir programme under reference ANR-11-IDEX-0004-02, and more specifically within the framework of the Cluster of Excellence MATISSE Partial financial support of the Agence Nationale de la Recherche in the frame of the project Celadyct (ANR-12-BS08-0017-01) is also gratefully acknowledged.
Disclosure statement
No potential conflict of interest was reported by the authors.