For the description of thermally activated dynamics in systems of classical magnetic moments numerical methods are desirable. We consider a simple model for isolated magnetic particles in a uniform field with an oblique angle to the easy axis of the particles. For this model, a comparison of the Monte Carlo method with Langevin dynamics yields new insight to the interpretation of the Monte Carlo process, leading to the implementation of a new algorithm where the Monte Carlo step is time quantified. The numeric results for the characteristic time of the magnetization reversal are in excellent agreement with asymptotic solutions for the Néel-Brown model
This master thesis reports of two methods, both using Langevin dynamics to simulate the motion of a...
Abstract. Magnetic particles are largely utilized in several applications ranging from magnetorheolo...
short time scale breakdown of the Arrhenius-Neel law for a single magnetic moment is demonstrated an...
The viability of the time quantified Metropolis Monte Carlo technique to describe the dynamics of ma...
Time quantification of Monte Carlo steps is studied by the implementation of a new technique which t...
10.1103/PhysRevB.72.094420Physical Review B - Condensed Matter and Materials Physics729-PRBM
Magnetic materials are now controllable down to a nanometer length scale and, hence, there is a broa...
Using Monte Carlo methods we investigate the thermally activated magnetization switching of small fe...
Magnetization reversal in magnetic nanostructures is investigated numerically over time-scales rangi...
Magnetization reversal in Co nanostructures is simulated over a wide range of time-scales, from fast...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Effects of thermal activation are included in micromagnetic simulations by adding a random thermal f...
We investigate the thermally activated magnetization switching in a classical Heisenberg spin chain ...
Due to the complexity of the magnetic nanoparticles systems, their study by simulation, requires mor...
International audienceWe propose a stochastic approach for the description of the time evolution of ...
This master thesis reports of two methods, both using Langevin dynamics to simulate the motion of a...
Abstract. Magnetic particles are largely utilized in several applications ranging from magnetorheolo...
short time scale breakdown of the Arrhenius-Neel law for a single magnetic moment is demonstrated an...
The viability of the time quantified Metropolis Monte Carlo technique to describe the dynamics of ma...
Time quantification of Monte Carlo steps is studied by the implementation of a new technique which t...
10.1103/PhysRevB.72.094420Physical Review B - Condensed Matter and Materials Physics729-PRBM
Magnetic materials are now controllable down to a nanometer length scale and, hence, there is a broa...
Using Monte Carlo methods we investigate the thermally activated magnetization switching of small fe...
Magnetization reversal in magnetic nanostructures is investigated numerically over time-scales rangi...
Magnetization reversal in Co nanostructures is simulated over a wide range of time-scales, from fast...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Effects of thermal activation are included in micromagnetic simulations by adding a random thermal f...
We investigate the thermally activated magnetization switching in a classical Heisenberg spin chain ...
Due to the complexity of the magnetic nanoparticles systems, their study by simulation, requires mor...
International audienceWe propose a stochastic approach for the description of the time evolution of ...
This master thesis reports of two methods, both using Langevin dynamics to simulate the motion of a...
Abstract. Magnetic particles are largely utilized in several applications ranging from magnetorheolo...
short time scale breakdown of the Arrhenius-Neel law for a single magnetic moment is demonstrated an...