6533b831fe1ef96bd1298fae

RESEARCH PRODUCT

Diffusion between evolving interfaces

Juha MerikoskiJanne Juntunen

subject

PhysicsModels StatisticalSurface PropertiesPhysicsBubbleMonte Carlo methodFOS: Physical sciencesCondensed Matter - Soft Condensed MatterModels TheoreticalCondensed Matter PhysicsDiffusionLattice (order)Materials TestingSoft Condensed Matter (cond-mat.soft)Computer SimulationGeneral Materials ScienceStatistical physicsMonte Carlo MethodAlgorithms

description

Diffusion in an evolving environment is studied by continuos-time Monte Carlo simulations. Diffusion is modelled by continuos-time random walkers on a lattice, in a dynamic environment provided by bubbles between two one-dimensional interfaces driven symmetrically towards each other. For one-dimensional random walkers constrained by the interfaces, the bubble size distribution domi- nates diffusion. For two-dimensional random walkers, it is also controlled by the topography and dynamics of the interfaces. The results of the one-dimensional case are recovered in the limit where the interfaces are strongly driven. Even with simple hard-core repulsion between the interfaces and the particles, diffusion is found to depend strongly on the details of the dynamical rules of particles close to the interfaces. Article reference: Journal of Physics: Condensed Matter 22, 465402 (2010).

https://dx.doi.org/10.48550/arxiv.1011.4383