Understanding the Dynamics of Evaporation-Driven Colloidal Self-Assembly

TL;DR

This study uses coupled simulation methods to explore how fluid and particle interactions influence colloidal self-assembly during evaporation, revealing how parameters like friction and evaporation rate affect cluster formation.

Contribution

It introduces a combined lattice Boltzmann and discrete element simulation approach to analyze evaporation-driven colloidal assembly and identifies key parameters influencing cluster morphologies.

Findings

Interparticle friction significantly impacts final cluster configurations.

A regime diagram maps evaporation rates, friction, and particle number effects.

Dynamic trajectories can be tuned to control colloidal cluster structures.

Abstract

Complex colloidal cluster morphologies are desirable for the fabrication of advanced materials, such as photonic crystals and meta-materials, and can be formed through evaporation-driven packing. By coupling lattice Boltzmann and discrete element methods, here we elucidate the rich interplay between fluid and particle dynamics during evaporation-driven self-assembly of spherical colloidal particles. We construct a regime diagram for a wide range of evaporation rates, interparticle friction coefficients, and particle numbers, identifying parameter regimes for open, closed, and minimal moment of inertia cluster configurations. Analyzing the competition between capillary, hydrodynamic, normal, and friction forces, we show that interparticle friction can exert a disproportionately strong influence on the final packing outcome despite being considerably smaller in magnitude than other forces at play. Our simulation results further highlight the potential for tuning colloidal cluster configurations via their dynamic trajectories.