6533b852fe1ef96bd12ab654

RESEARCH PRODUCT

Self-diffusion in polymer solutions using the bond-fluctuation MC-algorithm

Kurt BinderDieter W. HeermannKurt KremerWolfgang Paul

subject

chemistry.chemical_classificationSelf-diffusionChemistryCrossoverThermodynamicsPolymerCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsVolume (thermodynamics)Cover (topology)Chain (algebraic topology)Computational chemistryMaterials ChemistryCeramics and CompositesRange (statistics)Scaling

description

Abstract A lattice Monte Carlo study of the self-diffusion of polymer chains in an athermal solution of equal chains is presented. The examined chain lengths, N (= 20–200), and volume fractions, φ (= 0.025-0.5), cover the range from dilute solution to concentrated solution, respectively. The dynamics show a gradual crossover from Rouse to reptation-like behaviour. Analysing the data according to a scaling theory and taking into account the density dependence of the microscopic length and time-scales, an almost perfect scaling of the self-diffusion coefficient is achieved. The high statistical accuracy of the data (103–104 chains per parameter combination) was obtainable by using a transputer-based parallel computer.

https://doi.org/10.1016/0022-3093(91)90663-q