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Simulação de Monte Carlo no modelo de Ising na rede quadrada

Murilo Lacerda Santos

Published Sep 4, 2014• 0 citations
OpenAlex

Abstract

In this work we study the magnetic properties of the ferromagnetic Ising model on a square lattice, in zero external magnetic eld, through Monte Carlo simulations. The initial part comprises the theoretical background and the simulations as the Monte Carlo code, the single histogram technique and the estimate of the error bars. For the particular four-spin cluster the exact results have been obtained and compared to the simulational ones. Such comparison granted a better understanding of the process of generating the computational data besides a way of conrming the correctness of the code. Together with the single histogram technique and the nite size scaling hypothesis. We have obtained the mean values of the magnetization, energy, specic heat, susceptibility and the Binder cumulant. It was possible to obtain the thermodynamic quantities as a function of temperature and the system size. It was evident the existence of a phase transition with its peculiar behavior. Accordingly, we have obtained the critical temperature as well as the critical exponents of the model. The values of the critical indices and the critical temperature agree well with the exact ones and those coming from other computational methods.

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The present thesis is focused on the study of the models of Ising and Heisenberg (classical) for ferromagnetism, the theory of phase transitions and the Monte Carlo method as an efficient computational scheme for dealing with these kinds of strongly interacting systems. With the aid of this method, computational simulations were performed for the above mentioned models in 2 and 3 dimensions (2D and 3D) in order to compare these results with the predictions of some theoretical models. The method followed to model these systems is indicated as well as the process for constructing phase diagrams for the main thermodynamic quantities of interest (mean magnetization, mean energy, specific heat, magnetic susceptibility) and their behavior in a vicinity of the critical point is analyzed. Furthermore, a quantitative analysis is carried out to calculate the corresponding critical exponents (_; _; and _) and to prove the phenomenon of universality they fulfill for different types of crystalline structure (3D case) and for the 2 models previously cited (Ising and Heisenberg). The programs written down in C++ that were constructed with the aim of performing the respective simulations are also included. \nKeywords: models of Ising and Heisenberg, ferromagnetism, phase transitions, Monte Carlo method, critical point, critical exponents, universality.

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Monte Carlo simulations in a disordered binary Ising model

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In this work we study a disordered binary Ising model on the square lattice. The model system consists of two different particles with spin-1/2 and spin-1, which are randomly distributed on the lattice. It has been considered only spin nearest-neighbor exchange interactions with $J>0$. This system can represent a disordered magnetic binary alloy $A_{x}B_{1-x}$, obtained from the high temperature quenching of a liquid mixture. The results were obtained by the use of Monte Carlo simulations for several lattice sizes $L$, temperature $T$ and concentration $x$ of ions $A$ with spin-1/2. We found its critical temperature, through the reduced fourth-order Binder cumulant for the several values of the concentration $x$ of particles (spin-1/2, spin-1), and also the magnetization, the susceptibility and the specific heat as a function of temperature $T$.

arXiv:1109.3797•Sep 17, 2011•1 citation
In this work we study the magnetic properties of the ferromagnetic Ising model on a square lattice, in zero external magnetic eld, through Monte Carlo simulations. The initial part comprises the theoretical background and the simulations as the Monte Carlo code, the single histogram technique and the estimate of the error bars. For the particular four-spin cluster the exact results have been obtained and compared to the simulational ones. Such comparison granted a better understanding of the process of generating the computational data besides a way of conrming the correctness of the code. Together with the single histogram technique and the nite size scaling hypothesis. We have obtained the mean values of the magnetization, energy, specic heat, susceptibility and the Binder cumulant. It was possible to obtain the thermodynamic quantities as a function of temperature and the system size. It was evident the existence of a phase transition with its peculiar behavior. Accordingly, we have obtained the critical temperature as well as the critical exponents of the model. The values of the critical indices and the critical temperature agree well with the exact ones and those coming from other computational methods.
In this work we present a study of the thermodynamical properties of the spin-1=2 two-dimensional Ising model with ferromagnetic interactions at zero external magnetic eld. We used Monte Carlo simulations, through Metropolis andWang-Landau algorithms. The critical exponents and the corresponding critical temperatures are obtained by both methods using the nite-size scaling hypothesis. A comparison between the exact values and the results obtained from both algorithms was made, not only quantitatively but also in terms of computational times.
This discussion serves as an introduction to the use of Monte Carlo simulations as a useful way to evaluate the observables of a ferromagnet. Key background is given about the relevance and effectiveness of this stochastic approach and in particular the applicability of the Metropolis-Hastings algorithm. Importantly the potentially devastating effects of spontaneous magnetization are highlighted and a means to avert this is examined. An Ising model is introduced and used to investigate the properties of a two dimensional ferromagnet with respect to its magnetization and energy at varying temperatures. The observables are calculated and a phase transition at a critical temperature is also illustrated and evaluated. Lastly a finite size scaling analysis is undertaken to determine the critical exponents and the Curie temperature is calculated using a ratio of cumulants with differing lattice sizes. The results obtained from the simulation are compared to exact calculations to endorse the validity of this numerical process. A copy of the code used, written in C++, is enclosed and is freely available for use and modification under the General Public License.
The present thesis is focused on the study of the models of Ising and Heisenberg (classical) for ferromagnetism, the theory of phase transitions and the Monte Carlo method as an efficient computational scheme for dealing with these kinds of strongly interacting systems. With the aid of this method, computational simulations were performed for the above mentioned models in 2 and 3 dimensions (2D and 3D) in order to compare these results with the predictions of some theoretical models. The method followed to model these systems is indicated as well as the process for constructing phase diagrams for the main thermodynamic quantities of interest (mean magnetization, mean energy, specific heat, magnetic susceptibility) and their behavior in a vicinity of the critical point is analyzed. Furthermore, a quantitative analysis is carried out to calculate the corresponding critical exponents (_; _; and _) and to prove the phenomenon of universality they fulfill for different types of crystalline structure (3D case) and for the 2 models previously cited (Ising and Heisenberg). The programs written down in C++ that were constructed with the aim of performing the respective simulations are also included. \nKeywords: models of Ising and Heisenberg, ferromagnetism, phase transitions, Monte Carlo method, critical point, critical exponents, universality.
The phase transition of a random mixed-bond Ising ferromagnet on a cubic lattice model is studied bothnumerically and analytically. Analytical studies on Mixed-bond Ising model by using renormalizationgroup technique predict the existence of reentrant magnetism in a certain range of values of thecompetition parameter α. This phenomenon typically is found in systems presenting spin glass phase, forinstance EupSr1-p. We seek the existence of the reentrance by means of Monte Carlo simulations. In thiswork, we use the Cluster algorithms de Wolff to simulate the dynamics of the system. We obtained thethermodynamic quantities such as magnetization and susceptibility. Critical temperatures were estimatedof the maximum of the susceptibility and with these values we made the phase diagram Tc versus p fordifferent α values. Our results were compared with those obtained using a new technique in effective fieldtheory which employs similar probability distribution within the framework of two-site clusters.
To demonstrate the application of computational physics in modern statistical physics, this paper investigates the critical behavior of a finite-size ferromagnetic system based on the two-dimensional square-lattice Ising model.A nearest-neighbor Ising Hamiltonian is constructed, and periodic boundary conditions are adopted to reduce finite-boundary effects.The Metropolis Monte Carlo algorithm is used to sample spin configurations at different temperatures, while energy, magnetization, specific heat, magnetic susceptibility and Binder cumulant are calculated to describe the transition from an ordered state to a disordered state.The simulation results show that the system exhibits clear long-range order at low temperatures, where the order parameter remains high.As temperature increases, thermal fluctuations become stronger, magnetization decreases rapidly, and the system gradually evolves into a disordered state.The specific heat curve shows a pronounced peak at approximately (T = 2.269), while the susceptibility peak shifts slightly toward the high-temperature side due to finite-size effects and the discrete temperature grid.Overall, the simulated critical region is consistent with the theoretical critical temperature of the two-dimensional square-lattice Ising model.Spin-configuration analysis further reveals enhanced fluctuations and domain reconstruction near the critical region.In addition, a thermalization criterion and an extended sampling test for L = 48 near the critical region are added to examine the influence of finite sampling and equilibration.These results indicate that Monte Carlo simulation of the two-dimensional Ising model can effectively reproduce continuous phase transition, critical fluctuation and finite-size effects, providing a basic computational case for understanding critical phenomena in complex systems and data-driven physical analysis.
In this work we study a disordered binary Ising model on the square lattice. The model system consists of two different particles with spin-1/2 and spin-1, which are randomly distributed on the lattice. It has been considered only spin nearest-neighbor exchange interactions with J>0J>0J>0. This system can represent a disordered magnetic binary alloy AxB1−xA_{x}B_{1-x}Ax​B1−x​, obtained from the high temperature quenching of a liquid mixture. The results were obtained by the use of Monte Carlo simulations for several lattice sizes LLL, temperature TTT and concentration xxx of ions AAA with spin-1/2. We found its critical temperature, through the reduced fourth-order Binder cumulant for the several values of the concentration xxx of particles (spin-1/2, spin-1), and also the magnetization, the susceptibility and the specific heat as a function of temperature TTT.