arXiv · 1011.4383
Diffusion between evolving interfaces
Abstract
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).
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Janne Juntunen, Juha Merikoski. 2010-11-19. Diffusion between evolving interfaces. https://doi.org/10.1088/0953-8984%2F22%2F46%2F465402
Cite the original work for its findings. Save a collection to share your selection of sources.