Grafting of polymer chains onto the surface of spherical nanoparticles
leads to a hybrid type of fluid that exhibits properties of both particle
suspensions and melts of star polymers–these properties being controlled
by the relative dimensions of the grafted polymer chains to the nanoparticle
diameter, D, and the number of the number of chains grafted on
the nanoparticle surface, f. While polymer-grafted
nanoparticles (GNP) of this kind typically have a spherical average shape after
grafting even a moderate number of chains, their instantaneous
molecular shape can fluctuate significantly due to the deformation of the
grafted chains. Both simulations and measurements have previously revealed that
these “conformationally polarizable” particles can exhibit
self-assembly into large scale polymeric structures in both solution and in
polymer melts, and we simulate polymer-grafted nanoparticles with
D and temperature (T) variations without a
dispersing solvent to better understand the nature of this self-assembly
process. We observe a reversible self-assembly into linear and branched dynamic
GNP structures, where the extent of the assembly and geometry depend on
D and T, and we constructed a map
capturing the GNP structural behavior with D and
T variations. Since the shape of the GNPs appeared to be
correlated with the occurrence of the GNP self-assembly, we quantified the
average shape and a measure of shape fluctuations to better understand how
molecular shape influences their propensity to self-assemble into different
structural forms. Based on this framework, we describe the clustering process of
the GNPs as an equilibrium polymerization phenomenon and we
calculate the order parameter governing the dynamic clustering behavior of GNPs,
the average mass of the clusters, size distribution, and the apparent fractal
dimension of the clusters.