RMC modelling methods for polymers and polymer electrolytes: progress, problems and prospects

Shape, electronic structure and steric effects of organometallic nanocatalysts: relevant tools to improve the synergy between theory and experiment

An integrated package that uses structural, first principles and thermodynamic approaches is expected to play a significant role in advancing our knowledge of nanocatalysts.

Computer simulation study of pattern transfer in AB diblock copolymer film adsorbed on a heterogeneous surface

In this work we investigate how a pattern imposed in a copolymer film at a certain distance from the surface propagates through the film onto an adsorbing heterogeneous surface. We bias the copolymer film to adopt a specified target pattern and then use simulation to design a surface pattern that helps the adsorbed film to maintain that target pattern. We examine the effect of varying the copolymer chain length, the size of the target pattern, and the distance from the surface where the target pattern is applied, z', on the extent of pattern transfer. For each chain length, target pattern, and z' we compare the energy of the system when a pattern is applied in the bulk to the energy when no pattern is applied in order to understand why a certain pattern size is transferred to the surface with higher fidelity than the others. At constant chain length, pattern transfer is best when the pattern size brings the energy of the system close to the energy when no pattern is applied. At constant pattern size, pattern transfer is best in the systems with longer chains. This is because longer chains are more likely to adsorb as brushes and loops which then helps transfer the pattern through the adsorbed film down to the surface.

Modeling experimental data in a Monte Carlo simulation

A method is presented for modeling the structure of disordered media consistent with a set of experimental observations, such as scattering data. The data are incorporated into a conventional semigrand canonical Monte Carlo simulation by introducing a generalized, polydisperse composition space. This approach improves upon previous reverse Monte Carlo procedures in that thermodynamic consistency is retained. By way of example, the structure of a Lennard-Jones fluid is derived solely from radial distribution data.