30 research outputs found
Interplay between Depletion and Electrostatic Interactions in Polyelectrolyte–Nanoparticle Systems
We
use a numerical implementation of polymer self-consistent field theory
to study the effective interactions between two spherical particles
in polyelectrolyte solutions. We consider a model in which the particles
possess fixed charge density and the polymers contain a prespecified
amount of dissociated charges. We quantify the polymer-mediated interactions
between the particles as a function of the particle charge, polymer
concentrations and particle sizes. We study the interplay between
depletion interactions, which arise as a consequence of polymer exclusion
from the particle interiors, and the electrostatic forces which result
from the presence of charges on the polymers and particles. Our results
indicate that for weakly charged and uncharged particles, the polymer-mediated
interactions predominantly consist of a short-range attraction and
a long-range repulsion. When the particle charge is increased, the
interactions become purely repulsive. A longer range, albeit weaker,
bridging attraction was also evident for some parametric regimes.
We demonstrate that the short-range attraction and the longer-range
repulsion can be modeled as a sum of a depletion-like attraction and
an electrostatic Debye–Huckel like repulsion. However, the
amplitude and range underlying the depletion and electrostatic interactions
are shown to possess a complex relationship to the parameters of our
system. We present scaling arguments and analytical theory to rationalize
some of the dependencies underlying the parameters governing the interaction
potentials
Efficacy of Different Block Copolymers in Facilitating Microemulsion Phases in Polymer Blend Systems
Polymeric microemulsions are formed
in a narrow range of phase
diagram when a blend of immiscible homopolymers is compatibilized
by copolymers. In this study, we consider the ternary blend system
of A and B homopolymers mixed with block copolymers containing A and
B segments and probe the efficacy of different copolymer configurations
in promoting the formation of microemulsion phases. Specifically,
we consider (a) monodisperse diblock copolymers (D), (b) diblock copolymers
with bidisperse molecular weights (MW) (BDL), (c) block copolymers
having MW polydispersity in one of the blocks (PD), (d) diblock copolymers
having monodisperse MW but bidispersity in average composition (BDC),
and (e) gradient copolymers exhibiting a linear variation in the average
composition (G). Using single
chain in mean field simulations effected in two dimensions, we probe
the onset of formation and the width of the bicontinuous microemulsion
channel in the ternary phase diagram of homopolymer blended with compatibilizer.
We observed that diblock copolymers having bidisperse composition
are most efficient (i.e., microemulsion phases occupy the largest
area of phase diagram) in forming microemulsions. On the other hand,
monodisperse diblock copolymers and diblock copolymers having bidisperse
MW distribution form microemulsions with the least amount of compatibilizers.
We rationalize our results by explicitly quantifying the interfacial
activity and the influence of fluctuation effects in the respective
copolymer systems
Mean-Field Modeling of the Encapsulation of Weakly Acidic Molecules in Polyelectrolyte Dendrimers
The unique architecture of dendrimers has attracted interest
in
a wide variety of biomedical applications such as drug delivery. In
order to gain insight into the solubilization of drugs inside dendrimer
architectures, we have developed and numerically implemented a self-consistent
field theory model for the equilibrium characteristics of charged
dendrimer molecules in the presence of weakly acidic drug molecules.
Using such a model, we examine the relative influence of excluded
volume, electrostatic, and local enthalpic interactions upon the solubilization
of drugs in dendrimers. When only excluded volume interactions are
accounted, there is no driving force for drug solubilization inside
the dendrimer, and hence depletion of the drug from the dendrimer
molecule (relative to the bulk drug concentration) is observed. The
inclusion of electrostatic interactions within the model results in
solubilization of drugs within the dendrimer. The solubilization of
the drugs is shown to increase with increasing drug charge density
and increasing dendrimer generation number. We probe the effect of
enthalpic interactions and demonstrate that the number of drug molecules
encapsulated through enthalpic interaction is dependent upon the number
of dendrimer monomers, the enthalpic interaction parameters between
the dendrimer and drug (χ<sub>PD</sub>), and the drug and solvent
(χ<sub>DS</sub>). We also analyze the combined effects of the
preceding interactions to identify the synergism in their influence
and delineate the relative importance of different parameters such
as pOH, size of the drugs, and the Bjerrum length of the solution
in influencing the encapsulation of drugs by dendrimer molecules
Influence of Block Copolymer Compatibilizers on the Morphologies of Semiflexible Polymer/Solvent Blends
We study the influence of block copolymer
(BCP) compatibilizers
on the domain and interfacial characteristics of the equilibrium morphological
structures of semiflexible polymer/solvent blends. Our study is motivated
by the question of whether block copolymer compatibilizers can be
used to influence the phase separation morphologies resulting in conjugated
polymer/fullerene blends. Toward this objective, we use a single chain
in mean field Monte Carlo simulations for the phase behavior of semiflexible
polymer/solvent blends and study the influence of BCP compatibilizers
on the morphologies. Our results reveal a range of blend compositions
and molecular chemistries that result in equilibrium structures with
domain sizes on the order of 5–20 nm. To elucidate the morphological
characteristics of these structures, we first present a series of
ternary phase diagrams and then present results demonstrating that
the blend composition, semiflexible chain rigidity, BCP composition,
and component miscibility each provide unique handles to control the
phase separation morphologies and interfacial characteristics in such
blends
Effect of Nanoparticles on Ion Transport in Polymer Electrolytes
Using all atom molecular dynamics
and trajectory-extending kinetic
Monte Carlo simulations, we study the influence of Al<sub>2</sub>O<sub>3</sub> nanoparticles on the transport properties of ions in polymer
electrolytes composed of polyÂ(ethylene oxide) (PEO) melt solvated
with LiBF<sub>4</sub> salt. We observe that the mobility of Li<sup>+</sup> cations and BF<sub>4</sub><sup>–</sup> anions and the overall conductivity
decrease upon addition of nanoparticles. Our results suggest that
the nanoparticles slow the dynamics of polymer segments near their
surfaces. Moreover, the preferential interactions of the ions with
the nanoparticles are seen to lead to an enhancement of ion concentration
near the particle surfaces and a further reduction in the polymer
mobilities near the surface. Together, these effects are seen to increase
the residence times of Li<sup>+</sup> cations near the polymer backbone
in the vicinity of the nanoparticles and reduce the overall mobility
and conductivity of the electrolyte. Overall, our simulation results
suggest that both the nanoparticle-induced changes in polymer dynamical
properties and the interactions between the nanoparticles and ions
influence the conductivity of the electrolyte
Computer Simulations of Dendrimer–Polyelectrolyte Complexes
We
carry out a systematic analysis of static properties of the clusters
formed by complexation between charged dendrimers and linear polyelectrolyte
(LPE) chains in a dilute solution under good solvent conditions. We
use single chain in mean-field simulations and analyze the structure
of the clusters through radial distribution functions of the dendrimer,
cluster size, and charge distributions. The effects of LPE length,
charge ratio between LPE and dendrimer, the influence of salt concentration,
and the dendrimer generation number are examined. Systems with short
LPEs showed a reduced propensity for aggregation with dendrimers,
leading to formation of smaller clusters. In contrast, larger dendrimers
and longer LPEs lead to larger clusters with significant bridging.
Increasing salt concentration was seen to reduce aggregation between
dendrimers as a result of screening of electrostatic interactions.
Generally, maximum complexation was observed in systems with an equal
amount of net dendrimer and LPE charges, whereas either excess LPE
or dendrimer concentrations resulted in reduced clustering between
dendrimers
Influence of Hydrogen Bonding Effects on Methanol and Water Diffusivities in Acid–Base Polymer Blend Membranes of Sulfonated Poly(ether ether ketone) and Base Tethered Polysulfone
Atomistic
molecular dynamics simulations were used to study the
water and methanol diffusivities in acid–base polymer blend
membranes consisting of sulfonated polyÂ(ether ether ketone) (SPEEK)
and polysulfone tethered with different bases (2-amino-benzimidazole,
5-amino-benzotriazole, and 1<i>H</i>-perimidine). Consistent
with experimental trends, methanol and water diffusivities in all
the SPEEK-based systems were found to be lower than those in Nafion.
When the base group attached to the polysulfone was varied, the methanol
diffusivities were found to exhibit the same trends as observed in
the experimentally measured crossover current densities. Such trends
were however observed only when we explicitly accounted for hydrogen
bonding interactions between the hydrogen attached to the nitrogen
of the base and the oxygen of the sulfonate of SPEEK. Furthermore,
in almost all cases, methanol diffusivities were found to be highly
correlated with the pore sizes of the membranes, which, in the case
of blends, were found to be influenced by the strength of parasitic
hydrogen bonding interactions between the sulfone oxygen of polysulfone
and HÂ(N-base). The influence of pore sizes on the methanol diffusivity
behavior was rationalized by using both the coordination behavior
and the residence time distributions of methanol in various regions
of pores. Together, our results unravel the physicochemical origins
of methanol diffusivities in acid–base blend membranes and
highlight the crucial role played by the hydrogen bonding interactions
in influencing methanol transport in acid–base polymer blend
membranes
Entanglements in Lamellar Phases of Diblock Copolymers
Using molecular dynamics (MD) simulations
in conjunction with topological
analysis algorithms, we investigate the changes, if any, in entanglement
lengths of flexible polymers in ordered lamellar phases of diblock
copolymers. Our analysis reveals a reduction in the average entanglement
spacing of the polymers with increasing degree of segregation between
the blocks. Furthermore, the results of the topological analysis algorithms
indicate an inhomogeneous distribution of entanglement junctions arising
from the segregated morphology of the block copolymer. To understand
such trends, we invoke the packing arguments proposed by Kavassalis
and Noolandi in combination with the framework of polymer self-consistent-field
theory (SCFT) and Monte Carlo simulations. Such an analysis reveals
qualitatively similar characteristics as our MD results for both the
average entanglement spacing and the inhomogeneities in entanglements.
Together, our results provide evidence for the changes in entanglement
features arising from compositional inhomogeneities and suggest that
the ideas embodied in packing arguments may provide a simple means
to semiquantitatively characterize such modifications
Multiscale Simulations of Lamellar PS–PEO Block Copolymers Doped with LiPF<sub>6</sub> Ions
We report the results of atomistic
simulations of the structural
equilibrium properties of PS–PEO block copolymer (BCP) melt
in the ordered lamellar phase doped with LiPF<sub>6</sub> salt. A
hybrid simulation strategy, consisting of steps of coarse-graining
and inverse coarse-graining, was employed to equilibrate the melt
at an atomistic resolution in the ordered phase. We characterize the
structural distributions between different atoms/ions and compare
the features arising in BCPs against the corresponding behavior in
PEO homopolymers for different salt concentrations. In addition, the
local structural distributions are characterized in the lamellar phase
as a function of distance from the interface. The cation–anion
radial distribution functions (RDF) display stronger coordination
in the block copolymer melts at high salt concentrations, whereas
the trends are reversed for low salt concentrations. Radial distribution
functions isolated in the PEO and PS domains demonstrate that the
stronger coordination seen in BCPs arises from the influence of both
the higher fraction of ions segregated in the PS phase and the influence
of interactions in the PS domain. Such a behavior also manifests in
the cation–anion clusters, which show a larger fraction of
free ions in the BCP. While the average number of free anions (cations)
decreases with increasing salt concentration, higher order aggregates
of LiPF<sub>6</sub> increase with increasing salt concentration. Further,
the cation–anion RDFs display spatial heterogeneity, with a
stronger cation–anion binding in the interfacial region compared
to bulk of the PEO domain
Mechanisms Underlying Ionic Mobilities in Nanocomposite Polymer Electrolytes
Recently,
a number of experiments have demonstrated that addition
of ceramics with nanoscale dimensions can lead to substantial improvements
in the low-temperature conductivity of the polymeric materials. However,
the origin of such behaviors and, more generally, the manner by which
nanoscale fillers impact the ion mobilities remain unresolved. In
this communication, we report the results of atomistic molecular dynamics
simulations which used multibody polarizable force fields to study
lithium ion diffusivities in an amorphous polyÂ(ethylene-oxide) (PEO)
melt containing well-dispersed TiO<sub>2</sub> nanoparticles. We observed
that the lithium ion diffusivities decrease with increased particle
loading. Our analysis suggests that the ion mobilities are correlated
to the nanoparticle-induced changes in the polymer segmental dynamics.
Interestingly, the changes in polymer segmental dynamics were seen
to be related to the nanoparticle’s influence on the polymer
conformational features. Overall, our results indicate that addition
of nanoparticle fillers modifies polymer conformations and the polymer
segmental dynamics and thereby influence the ion mobilities of polymer
electrolytes