Self-assembly of polymeric particles in Poiseuille flow: A hybrid Lattice Boltzmann / External Potential Dynamics simulation study
Johannes Heuser, G.J. Agur Sevink, Friederike Schmid

TL;DR
This paper introduces a hybrid simulation approach combining density functional theory and lattice Boltzmann methods to study the self-assembly of polymeric particles under flow conditions, revealing effects of shear on nucleation and shape transformations.
Contribution
The study develops a novel hybrid simulation method integrating polymer dynamics with hydrodynamics to analyze self-assembly in flow, providing new insights into shear effects on particle formation.
Findings
Shear delays droplet nucleation proportionally to shear rate.
Shear flow accelerates particle fusion rates.
Strong shear induces irreversible shape changes in vesicles.
Abstract
We present a hybrid simulation method which allows one to study the dynamical evolution of self-assembling (co)polymer solutions in the presence of hydrodynamic interactions. The method combines an established dynamic density functional theory for polymers that accounts for the nonlocal character of chain dynamics at the level of the Rouse model, the external potential dynamics (EPD) model, with an established Navier-Stokes solver, the Lattice Boltzmann (LB) method. We apply the method to study the self-assembly of nanoparticles and vesicles in two-dimensional copolymer solutions in a typical microchannel Poiseuille flow profile. The simulations start from fully mixed systems which are suddenly quenched below the spinodal line. In order to isolate effects caused by walls, we use a reverse Poiseuille flow geometry with periodic boundary conditions. We identify three stages of self…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Blood properties and coagulation
