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Scientia Plena

Aplicação do método de Monte Carlo para o problema de ligações mistas em uma rede cúbica

J.B. Santos-Filho, Douglas F. de Albuquerque, A.S. de Arruda, N. O. Moreno

Published Jan 1, 2006• 0 citations
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Abstract

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.

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The critical properties of a random mixed-bond Ising model on a cubic lattice are studied so much  numerically with analytically. Analytical studies on Mixed-bond Ising model through renormalization  group technique predict the existence of reentrant magnetism in certain range of values of the  competition parameter α. This phenomenon typically found in systems that present spin-glass phase. In  this work, did we use the algorithm cluster of Wolff to simulate the dynamics of the system. Using the  technique of the Histogram obtains the thermodynamic amounts of interest and based on the theory finite  size scaling found the critical temperatures, the phase diagrams and the critical exponents of the model. Our results were compared with those obtained using a new technique in effective field theory which  employs similar probability distribution within the framework of two-site clusters.

Scientia Plena•Jan 1, 2007•0 citations

Aplicação do método de Monte Carlo para o problema de ligações mistas em uma rede cúbica (Application of Monte Carlo's method for the problem of mixed-bond in a cubic lattices)

J.B. Santos-Filho, Douglas F. de Albuquerque, A.S. de Arruda +1 more

A transicao de fase do modelo de Ising com ligacoes mistas (Mixed-bond) numa rede cubica e estudada tanto numericamente com analiticamente. Analiticamente estudos do modelo de Ising mixed-bond atraves de tecnica de grupo de renormalizacao predizem a existencia de reentrâncias magneticas em certos valores do parâmetro de competicao α (α positivo). Este fenomeno e tipicamente encontrado em sistemas (a exemplo do composto EupSr1-p) que apresentam fase vidro-de-spin (spin-glass). Neste trabalho, usamos o algoritmo cluster de Wolff para simular a dinâmica do sistema e obter as quantidades termodinâmicas magnetizacao e susceptibilidade magnetica. A temperatura critica do sistema foi estimada do maximo de susceptibilidade e com estes valores construimos o diagrama de fase Tc versus p para diferentes valores de α ( 0 > α ). Nossos resultados foram comparados como aqueles obtidos pelo metodo de teoria de campo efetivo que emprega uma distribuicao de probabilidade similar dentro de uma estrutura de cluster com dois spins.

•Jan 1, 2006•0 citations

Phase Diagram of mixed bond Ising systems by use of Monte Carlo and the effective-field theory

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The phase transition of a random mixed-bond Ising ferromagnet on a cubic lattice model is studied both numerically and analytically. In this work, we use the Cluster algorithms of Wolff and Glauber to simulate the dynamics of the system. We obtained the thermodynamic quantities such as magnetization, susceptibility, and specific heat. Our results were compared with those obtained using a new technique in effective field theory that employs similar probability distribution within the framework of two-site clusters

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Monte Carlos studies of critical and dynamic phenomena in mixed bond Ising model

J.B. Santos-Filho, N. O. Moreno, Douglas F. de Albuquerque

The phase transition of a random mixed-bond Ising ferromagnet on a cubic lattice model is studied both numerically and analytically. In this work, we use the Metropolis and Wolff algorithm with histogram technique and finite size scaling theory to simulate the dynamics of the system. We obtained the thermodynamic quantities such as magnetization, susceptibility, and specific heat. Our results were compared with those obtained using a new technique in effective field theory that employs similar probability distribution within the framework of two-site clusters.

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Simulação de Monte Carlo no modelo de Ising na rede quadrada

Murilo Lacerda Santos

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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Análisis de transiciones de fase en un ferromagneto ideal aplicando el método de Monte Carlo a los modelos de Ising y Heisenberg en 2 y 3 dimensiones

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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.

•Dec 1, 2013•0 citations
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.
The critical properties of a random mixed-bond Ising model on a cubic lattice are studied so much  numerically with analytically. Analytical studies on Mixed-bond Ising model through renormalization  group technique predict the existence of reentrant magnetism in certain range of values of the  competition parameter α. This phenomenon typically found in systems that present spin-glass phase. In  this work, did we use the algorithm cluster of Wolff to simulate the dynamics of the system. Using the  technique of the Histogram obtains the thermodynamic amounts of interest and based on the theory finite  size scaling found the critical temperatures, the phase diagrams and the critical exponents of the model. Our results were compared with those obtained using a new technique in effective field theory which  employs similar probability distribution within the framework of two-site clusters.
A transicao de fase do modelo de Ising com ligacoes mistas (Mixed-bond) numa rede cubica e estudada tanto numericamente com analiticamente. Analiticamente estudos do modelo de Ising mixed-bond atraves de tecnica de grupo de renormalizacao predizem a existencia de reentrâncias magneticas em certos valores do parâmetro de competicao α (α positivo). Este fenomeno e tipicamente encontrado em sistemas (a exemplo do composto EupSr1-p) que apresentam fase vidro-de-spin (spin-glass). Neste trabalho, usamos o algoritmo cluster de Wolff para simular a dinâmica do sistema e obter as quantidades termodinâmicas magnetizacao e susceptibilidade magnetica. A temperatura critica do sistema foi estimada do maximo de susceptibilidade e com estes valores construimos o diagrama de fase Tc versus p para diferentes valores de α ( 0 > α ). Nossos resultados foram comparados como aqueles obtidos pelo metodo de teoria de campo efetivo que emprega uma distribuicao de probabilidade similar dentro de uma estrutura de cluster com dois spins.
The phase transition of a random mixed-bond Ising ferromagnet on a cubic lattice model is studied both numerically and analytically. In this work, we use the Cluster algorithms of Wolff and Glauber to simulate the dynamics of the system. We obtained the thermodynamic quantities such as magnetization, susceptibility, and specific heat. Our results were compared with those obtained using a new technique in effective field theory that employs similar probability distribution within the framework of two-site clusters
The phase transition of a random mixed-bond Ising ferromagnet on a cubic lattice model is studied both numerically and analytically. In this work, we use the Metropolis and Wolff algorithm with histogram technique and finite size scaling theory to simulate the dynamics of the system. We obtained the thermodynamic quantities such as magnetization, susceptibility, and specific heat. Our results were compared with those obtained using a new technique in effective field theory that employs similar probability distribution within the framework of two-site clusters.
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.
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.