We study the thermodynamics of classical Heisenberg model using the multipath approach to Metropolis algorithm Monte Carlo simulation. This simulation approach produces uncorrelated results with known precision. Also, it can be easily generalized to other classical models of magnetism. Comparing results obtained from multipath and from single–path simulations we demonstrate that these approaches produce equivalent results
We study the phase diagram of the three-dimensional classical ferromagnetic Heisenberg model with an...
A detailed description is provided of a new worm algorithm, enabling the accurate computation of the...
In this thesis, a numerical study of simulating and computing the magnetocaloric properties of magne...
We study the efficiency and theory behind various Markov chain Monte Carlo update methods (later MCM...
The Metropolis implementation of the Monte Carlo algorithm has been developed to study the equilibri...
In the Monte Carlo simulation of phase transition, a simple heat bath method is applied to the class...
In this paper, we review non-extensive statistics (Tsallis conjecture), and continue by analyzing th...
AbstractThe stochastic Heisenberg model is a classical mechanical model for a magnet in contact with...
The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional par...
We have calculated the equilibrium thermodynamic properties of Heisenberg spin systems using a quant...
We study the phase diagram of the three-dimensional classical ferromagnetic Heisenberg model with an...
The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional par...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Bayesian statistics is closely coupled with physics. The metropolis algorithm (1953) was developed b...
We propose a new Monte Carlo technique in which the degeneracy of energy states is obtained with a M...
We study the phase diagram of the three-dimensional classical ferromagnetic Heisenberg model with an...
A detailed description is provided of a new worm algorithm, enabling the accurate computation of the...
In this thesis, a numerical study of simulating and computing the magnetocaloric properties of magne...
We study the efficiency and theory behind various Markov chain Monte Carlo update methods (later MCM...
The Metropolis implementation of the Monte Carlo algorithm has been developed to study the equilibri...
In the Monte Carlo simulation of phase transition, a simple heat bath method is applied to the class...
In this paper, we review non-extensive statistics (Tsallis conjecture), and continue by analyzing th...
AbstractThe stochastic Heisenberg model is a classical mechanical model for a magnet in contact with...
The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional par...
We have calculated the equilibrium thermodynamic properties of Heisenberg spin systems using a quant...
We study the phase diagram of the three-dimensional classical ferromagnetic Heisenberg model with an...
The extension of Boltzmann-Gibbs thermostatistics, proposed by Tsallis, introduces an additional par...
Monte Carlo simulations are methods for simulating statistical systems. The aim is to generate a rep...
Bayesian statistics is closely coupled with physics. The metropolis algorithm (1953) was developed b...
We propose a new Monte Carlo technique in which the degeneracy of energy states is obtained with a M...
We study the phase diagram of the three-dimensional classical ferromagnetic Heisenberg model with an...
A detailed description is provided of a new worm algorithm, enabling the accurate computation of the...
In this thesis, a numerical study of simulating and computing the magnetocaloric properties of magne...