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Dynamics of Opposing Polymer Brushes: A Computer Simulation Study.

Krzysztof HalaganMichał BanaszakJarosław JungPiotr PolanowskiAndrzej Sikorski
Published in: Polymers (2021)
Opposing polymer brush systems were synthesized and investigated by molecular modeling. Chains were restricted to a face-centered cubic lattice with the excluded volume interactions only. The system was confined between two parallel impenetrable walls, with the same number of chains grafted to each surface. The dynamic properties of such systems were studied by Monte Carlo simulations based on the dynamic lattice liquid model and using a highly efficient parallel machine ARUZ, which enabled the study of large systems and long timescales. The influence of the surface density and mean polymer length on the system dynamic was discussed. The self-diffusion coefficient of the solvent depended strongly on the degree of polymerization and on the polymer concentration. It was also shown that it is possible to capture changes in solvent mobility that can be attributed to the regions of different polymer densities.
Keyphrases
  • highly efficient
  • monte carlo
  • ionic liquid
  • magnetic resonance
  • magnetic resonance imaging
  • molecular dynamics
  • diffusion weighted imaging