43 research outputs found
Phase Behavior of Melts of Diblock-Copolymers with One Charged Block
In this work we investigated the phase behavior of melts of block-copolymers
with one charged block by means of dissipative particle dynamics with explicit
electrostatic interactions. We assumed that all the Flory-Huggins \c{hi}
parameters were equal to 0 and showed that the charge correlation attraction
solely can cause microphase separation with long-range order; a phase diagram
was constructed by varying the volume fraction of the uncharged block and the
electrostatic interaction parameter {\lambda}. The obtained phase diagram was
compared to the phase diagram of corresponding neutral diblock-copolymers.
Surprisingly, the differences between these phase diagrams are rather subtle;
the same phases are observed, and the positions of the ODT points are similar
if the {\lambda}-parameter is considered as an "effective" \c{hi}-parameter.
Next, we studied the position of the ODT for lamellar structure depending on
the chain length N. It turned out that while for the uncharged
diblock-copolymer the product \c{hi}crN was almost independent of N, for the
diblock-copolymers with one charged block we observed a significant increase in
{\lambda}crN upon increasing N. It can be attributed to the fact that the
counterion entropy prevents the formation of ordered structures. This was
supported by studying the ODT in diblock-copolymers with charged blocks and
counterions cross-linked to the charged monomer units. The ODT for such systems
was observed at significantly lower values of {\lambda} with the difference
being more pronounced at longer chain lengths N. The diffusion of counterions
in the obtained ordered structures was studied and compared to the case of a
system with the same number of charged groups but homogeneous structure; the
diffusion coefficient in a direction in the lamellar plane was found to be
higher than in any direction in homogeneous structure
On scale-free and poly-scale behaviors of random hierarchical network
In this paper the question about statistical properties of
block--hierarchical random matrices is raised for the first time in connection
with structural characteristics of random hierarchical networks obtained by
mipmapping procedure. In particular, we compute numerically the spectral
density of large random adjacency matrices defined by a hierarchy of the
Bernoulli distributions on matrix elements, where
depends on hierarchy level as (). For the spectral density we clearly see the free--scale
behavior. We show also that for the Gaussian distributions on matrix elements
with zero mean and variances , the tail of the
spectral density, , behaves as for and , while for
the power--law behavior is terminated. We also find that the vertex
degree distribution of such hierarchical networks has a poly--scale fractal
behavior extended to a very broad range of scales.Comment: 11 pages, 6 figures (paper is substantially revised
Phase Diagrams of Polymerization-Induced Self-Assembly Are Largely Determined by Polymer Recombination
In the current work, atom transfer radical polymerization-induced self-assembly (ATRP PISA) phase diagrams were obtained by the means of dissipative particle dynamics simulations. A fast algorithm for determining the equilibrium morphology of block copolymer aggregates was developed. Our goal was to assess how the chemical nature of ATRP affects the self-assembly of diblock copolymers in the course of PISA. We discovered that the chain growth termination via recombination played a key role in determining the ATRP PISA phase diagrams. In particular, ATRP with turned off recombination yielded a PISA phase diagram very similar to that obtained for a simple ideal living polymerization process. However, an increase in the recombination probability led to a significant change of the phase diagram: the transition between cylindrical micelles and vesicles was strongly shifted, and a dependence of the aggregate morphology on the concentration was observed. We speculate that this effect occurred due to the simultaneous action of two factors: the triblock copolymer architecture of the terminated chains and the dispersity of the solvophobic blocks. We showed that these two factors affected the phase diagram weakly if they acted separately; however, their combination, which naturally occurs during ATRP, affected the ATRP PISA phase diagram strongly. We suggest that the recombination reaction is a key factor leading to the complexity of experimental PISA phase diagrams
A simple model of a high temperature PEM fuel cell
We develop a simple analytical model of a high temperature hydrogen fuel cell with proton exchange membrane. The model is validated against experimental results obtained in our group. The model is pseudo two dimensional, steady-state and isothermal, it accounts for the crossover of reactant gases through the membrane and it can be solved analytically. The role of the crossover is considered in detail. (C) 2009 Professor T. Nejat Veziroglu. Published by Elsevier Ltd. All rights reserved