This master thesis reports of two methods, both using Langevin dynamics to simulate the motion of a charged particle in a two-dimensional infinite sized randomly distributed magnetic field. One of the methods uses periodic boundary conditions to mimic the infinite field, while the other continously creates the field in front of the particle. Measurements of the magnetic friction from both these methods are carried out and discussed. Both methods give the same result for low velocities but differs significantly for high. A behavior that is explained though the periodic boundary conditions let the particles lock up in tracks and therefore can not mimic an infinite field. The non-periodic boundaries however, gives rise to measurements...
Kinetic Monte Carlo methods provide a powerful computational tool for the simulation of microscopic ...
We study a Langevin equation for a particle moving in a periodic potential in the presence of viscos...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
Magnetotransport experiments on antidot lattices show a rich variety of physical phenomena. Dependin...
International audienceWe present results on the ballistic and diffusive behavior of the Langevin dyn...
Open AccessBased on the classical Langevin equation, we have revisited the problem of orbital motion...
AbstractWe consider a Langevin dynamics scheme for a d-dimensional Ising model with a disordered ext...
We present results for longitudinal dynamic hysteresis in single domain particles with uniaxial anis...
Computer simulation of complex nonlinear and disordered phenomena from materials science is rapidly ...
A computer model of fine magnetic particles has been developed based on the Landau-Lifshitz equation...
Computer simulation has been utilized to understand the hysteretic behavior of magnetic particle sys...
This work aims to reconstruct a continuous magnetization profile of a ferrofluid channel flow by usi...
For the description of thermally activated dynamics in systems of classical magnetic moments numeric...
40 pages, 8 figuresInternational audienceWe propose a derivation of a nonequilibrium Langevin dynami...
[1] This paper considers the motion of charged particles in irregular, statistically homogeneous, tw...
Kinetic Monte Carlo methods provide a powerful computational tool for the simulation of microscopic ...
We study a Langevin equation for a particle moving in a periodic potential in the presence of viscos...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
Magnetotransport experiments on antidot lattices show a rich variety of physical phenomena. Dependin...
International audienceWe present results on the ballistic and diffusive behavior of the Langevin dyn...
Open AccessBased on the classical Langevin equation, we have revisited the problem of orbital motion...
AbstractWe consider a Langevin dynamics scheme for a d-dimensional Ising model with a disordered ext...
We present results for longitudinal dynamic hysteresis in single domain particles with uniaxial anis...
Computer simulation of complex nonlinear and disordered phenomena from materials science is rapidly ...
A computer model of fine magnetic particles has been developed based on the Landau-Lifshitz equation...
Computer simulation has been utilized to understand the hysteretic behavior of magnetic particle sys...
This work aims to reconstruct a continuous magnetization profile of a ferrofluid channel flow by usi...
For the description of thermally activated dynamics in systems of classical magnetic moments numeric...
40 pages, 8 figuresInternational audienceWe propose a derivation of a nonequilibrium Langevin dynami...
[1] This paper considers the motion of charged particles in irregular, statistically homogeneous, tw...
Kinetic Monte Carlo methods provide a powerful computational tool for the simulation of microscopic ...
We study a Langevin equation for a particle moving in a periodic potential in the presence of viscos...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...