title: Diffusion between evolving interfaces.
abstract: Diffusion in an evolving environment is studied by continuous-time Monte Carlo simulations. Diffusion is modeled by continuous-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 dominates 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.
authors.affiliation: Department of Physics, University of Jyväskylä, Jyväskylä, Finland. janne.k.juntunen@jyu.fi
authors.forename: Janne
authors.initials: J
authors.lastname: Juntunen
authors.forename: Juha
authors.initials: J
authors.lastname: Merikoski
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004058:Diffusion; D008422:Materials Testing; D015233:Models, Statistical; D008962:Models, Theoretical; D009010:Monte Carlo Method; D010825:Physics / Q000379:methods*; D013499:Surface Properties