Impact of Particle Arrays on Phase Separation Composition Patterns
Supriyo Ghosh, Arnab Mukherjee, Raymundo Arroyave, Jack F. Douglas

TL;DR
This paper investigates how fixed particle arrays influence phase separation patterns in binary blends, demonstrating that particle configuration can be used to control the resulting morphology, with potential applications in material engineering.
Contribution
The study introduces a phase-field simulation approach to show how particle arrangements can tune phase separation morphologies in binary mixtures, revealing new control mechanisms.
Findings
Target patterns emerge at large interparticle spacing.
Particle configuration influences phase morphology.
Simulations align with limited experimental observations.
Abstract
We examine the symmetry-breaking effect of fixed constellations of particles on the surface-directed spinodal decomposition of binary blends in the presence of particles whose surfaces have a preferential affinity for one of the components. Our phase-field simulations indicate that the phase separation morphology in the presence of particle arrays can be tuned to have a continuous, droplet, lamellar, or hybrid morphology depending on the interparticle spacing, blend composition, and time. In particular, when the interparticle spacing is large compared to the spinodal wavelength, a transient target pattern composed of alternate rings of preferred and non-preferred phases emerge at early times, tending to adopt the symmetry of the particle configuration. We reveal that such target patterns stabilize for certain characteristic length, time, and composition scales characteristic of the pure…
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