Clustering in quasi-two-dimensional dispersions of Brownian particles with competitive interactions: Phase diagram and structural properties

Autor: Tan, Zihan, Calandrini, Vania, Dhont, Jan K. G., Nägele, Gerhard
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: Competing short-range attractive (SA) and long range repulsive (LR) interactions have been invoked to describe colloid or protein solutions, as well as membrane proteins interactions mediated by lipid molecules. Using Langevin dynamics simulations, we determine the generalized phase diagram, the cluster shapes and size distributions of a generic Q2D dispersion of spherical SALR particles confined to in-plane motion. SA and LR interactions are modelled by a generalized Lenard-Jones potential and a screened Coulomb potential, respectively. The microstructures of the various equilibrium and non-equilibrium phases turn out to be distinctly different from the ones observed in three-dimensional (3D) SALR systems. We discuss perturbation theory predictions for the metastable binodal line of a reference system of particles with SA interactions only, which in the Q2D-SALR phase diagram separates cluster from non-cluster phases. The transition from the high-temperature (low SA) dispersed fluid phase to the lower-temperature equilibrium cluster phase is characterised by a low-wavenumber peak of the static structure factor (corresponding to a thermal correlation length of about twice the particle diameter) featuring a distinctly smaller height ($\approx1.4$) than in 3D SALR systems. By further decreasing the temperature (increasing SA), the cluster morphology changes from disk-like shapes in the equilibrium cluster phase, to double-stranded anisotropic hexagonal cluster forms in the cluster-percolated gel phase. This transition is quantified by the hexagonal order parameter distribution function. The mean cluster size and coordination number of particles in the gel phase are insensitive to changes in the attraction strength.
Comment: 13 pages, 8 figures
Databáze: arXiv