We present a numerical and partially analytical study of classical particles obeying a Langevin equation that describes diffusion on a surface modeled by a two-dimensional potential. The potential may be either periodic or random. Depending on the potential and the damping, we observe superdiffusion, large-step diffusion, diffusion, and subdiffusion. Superdiffusive behavior is associated with low damping and is in most cases transient, albeit often long. Subdiffusive behavior is associated with highly damped particles in random potentials. In some cases subdiffusive behavior persists over our entire simulation and may be characterized as metastable. In any case, we stress that this rich variety of behaviors emerges naturally from an ordinar...
We investigate the dynamic properties of Brownian interacting particles ...
We consider a particle immersed in a thermal reservoir and simultaneously subjected to an external r...
We consider the effective motion along a cylinder of a particle that freely diffuses in the bulk and...
We present a numerical and partially analytical study of classical particles obeying a Langevin equa...
We present a numerical study of classical particles diffusing on a solid surface. The particles moti...
We present a numerical study of classical particles diffusing on a solid surface. The particles’ mot...
We study the motion of a particle governed by a generalized Langevin equation. We show that, when no...
The diffusion dynamics of particles in heterogeneous media is studied using particle-based simulatio...
15 pagesWe report new results about the two-time dynamics of an anomalously diffusing classical part...
Non-interacting Brownian particles obey Langevin equations fulfilling a fluctuation–dissipation rela...
The Brownian motion of a microscopic particle in a fluid is one of the cornerstones of statistical p...
The Fractional Langevin Equation (FLE) describes a non-Markovian Generalized Brownian Motion with lo...
Diffusion of a tagged particle near a constraining biological surface is examined numerically by mod...
We present a numerical study of classical particles obeying a Langevin equation and moving on a soli...
We present a master equation formulation based on a Markovian random walk model that exhibits subdif...
We investigate the dynamic properties of Brownian interacting particles ...
We consider a particle immersed in a thermal reservoir and simultaneously subjected to an external r...
We consider the effective motion along a cylinder of a particle that freely diffuses in the bulk and...
We present a numerical and partially analytical study of classical particles obeying a Langevin equa...
We present a numerical study of classical particles diffusing on a solid surface. The particles moti...
We present a numerical study of classical particles diffusing on a solid surface. The particles’ mot...
We study the motion of a particle governed by a generalized Langevin equation. We show that, when no...
The diffusion dynamics of particles in heterogeneous media is studied using particle-based simulatio...
15 pagesWe report new results about the two-time dynamics of an anomalously diffusing classical part...
Non-interacting Brownian particles obey Langevin equations fulfilling a fluctuation–dissipation rela...
The Brownian motion of a microscopic particle in a fluid is one of the cornerstones of statistical p...
The Fractional Langevin Equation (FLE) describes a non-Markovian Generalized Brownian Motion with lo...
Diffusion of a tagged particle near a constraining biological surface is examined numerically by mod...
We present a numerical study of classical particles obeying a Langevin equation and moving on a soli...
We present a master equation formulation based on a Markovian random walk model that exhibits subdif...
We investigate the dynamic properties of Brownian interacting particles ...
We consider a particle immersed in a thermal reservoir and simultaneously subjected to an external r...
We consider the effective motion along a cylinder of a particle that freely diffuses in the bulk and...