6533b83afe1ef96bd12a7826

RESEARCH PRODUCT

Spinodal Decomposition in Binary Polymer Blends: Monte Carlo Simulations and Dynamic Mean Field Theory

Marcus MüllerKurt BinderEllen Reister

subject

Materials scienceMean field theorySpinodal decompositionPhase (matter)Lattice (order)Monte Carlo methodDynamic Monte Carlo methodBinary numberThermodynamicsPolymer blend

description

Using large scale computer simulations we have investigated the interplay between single chain dynamics and the kinetics of phase separation in a symmetric binary polymer blend. In the framework of a coarse grained lattice model — the bond fluctuation model on a three dimensional lattice — we monitor the growth of concentration fluctuations after a quench from the one phase region into the miscibility gap. Chains of 64 effective segments are simulated in a cell of linear dimension L = 160, i.e., each simulation box contains 256 000 particles. The growth rate of composition fluctuations is averaged over 64 realizations of the temperature quench.

yearjournalcountryeditionlanguage
2001-01-01
https://doi.org/10.1007/978-3-642-56548-9_1