Visualizing the dynamics of complex spatial networks in structured fluids.

We present a data reduction and visualization approach for the microdomain dynamics in block copolymers and similar structured fluids. Microdomains are reduced to thin smooth lines with colored branching points and visualized with a tool for protein visualization. As a result the temporal evolution of large volume data sets can be perceived within seconds. This approach is demonstrated with simulation results based on the dynamic density functional theory of the ordering of microdomains in a thin film of block copolymers. As an example we discuss the dynamics at the cylinder-to-gyroid grain boundary and compare it to the epitaxial cylinder-to-gyroid phase transition predicted by Matsen [Phys. Rev. Lett. 80, 4470 (1998)].

Scaling behavior of the reorientation kinetics of block copolymers exposed to electric fields.

We have followed the reorientation kinetics of various block copolymer solutions exposed to an external electric DC field. The characteristic time constants follow a power law indicating that the reorientation is driven by a decrease in electrostatic energy. Moreover, the observed exponent suggests an activated process in line with the expectations for a nucleation and growth process. When properly scaled, the data collapse onto a single master curve spanning several orders of magnitude both in reduced time and in reduced energy. The power law dependence of the rate of reorientation derived from computer simulations based on dynamic density functional theory agrees well with the experimental observations. First experiments in AC electric fields at sufficiently high frequencies confirm the notion that the reorientation process is dominated by differences in the dielectric constants rather than by mobile ions.