Monte Carlo computer simulations and electron microscopy of colloidal cluster formation via emulsion droplet evaporation
Ingmar Schwarz, Andrea Fortini, Claudia Simone Wagner, Alexander, Wittemann, Matthias Schmidt

TL;DR
This study combines Monte Carlo simulations and electron microscopy to investigate how colloidal particles assemble into stable clusters on evaporating emulsion droplets, revealing detailed structures and hierarchical assembly processes.
Contribution
It introduces a comprehensive model capturing droplet evaporation, particle interactions, and cluster formation, validated by experimental microscopy data.
Findings
Simulations reproduce disordered particle arrangements before evaporation.
Ordered colloidal clusters form after complete evaporation.
Hierarchical assembly leads to complex supercluster structures.
Abstract
We consider a theoretical model for a binary mixture of colloidal particles and spherical emulsion droplets. The hard sphere colloids interact via additional short-ranged attraction and long-ranged repulsion. The droplet-colloid interaction is an attractive well at the droplet surface, which induces the Pickering effect. The droplet-droplet interaction is a hard-core interaction. The droplets shrink in time, which models the evaporation of the dispersed (oil) phase, and we use Monte Carlo simulations for the dynamics. In the experiments, polystyrene particles were assembled using toluene droplets as templates. The arrangement of the particles on the surface of the droplets was analyzed with cryogenic field emission scanning electron microscopy. Before evaporation of the oil, the particle distribution on the droplet surface was found to be disordered in experiments, and the simulations…
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