Orientadores: Gaston Eduardo Barberis, Pascoal José Giglio Pagliuso / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Física Gleb Wataghin / Made available in DSpace on 2018-08-17T22:20:28Z (GMT). No. of bitstreams: 1 CalderonFilho_CesarJose_M.pdf: 21461723 bytes, checksum: 3089cf622e6e81e41b460dc218211be3 (MD5) Previous issue date: 2011 / Resumo: Na física da materia condensada, o estudo de sistemas de eletrons fortemente correlacionados é, com certeza, um dos problemas mais interessantes tanto do ponto de vista experimental como teórico, e são estes materiais que tem sido utilizados recentemente em aplicações tecnológicas. Destes compostos, os multiferroicos apresentam um conjunto de propriedades físicas muito rico. Estes materiais apresentam pelo menos duas das seguintes correlações de longo alcance: (anti)ferromagnetismo, ferroelasticidade e ferroeletricidade. Porém, as transições não precisam ser necessariamente correlacionadas, mas quando são, estas ocorrem simultaneamente, e o efeito magnetoelétrico pode ser induzido por campo. Neste trabalho, foram desenvolvidos cálculos numéricos que simulam o acoplamento magnetoelétrico presente nos multiferróicos minimizando a energia através da técnica de Monte Carlo. Foram desenvolvidos dois modelos muito simples. O primeiro modelo acopla uma rede de Ising 2D com spin 1/2 com uma rede de dipolos elétricos tambem 2D; este acoplamento e tal que a mudança de direção de um dado spin reorienta uma dada componente perpendicular do dipolo elétrico vizinho a este mesmo spin. Assim, para este primeiro modelo, as transições de fase das redes elétrica e magnetica ocorrem na mesma temperatura, sendo o hamiltoniano dependente de três parâmetros. Para o segundo modelo, foram utilizadas novamente duas redes, uma rede de Ising 2D com spin 1/2, e uma rede elétrica que se comporta da mesma maneira que uma rede de Ising 2D. Neste caso, o acoplamento entre o spin e o dipolo eletrico ocorre através de um sistema de dois níveis, gerando a possibilidade de temperaturas de transição independentes para as duas redes. Este segundo modelo tambem depende de três parâmetros / Abstract: In condensed matter physics, the study of strongly correlated electron systems is certainly one of the most interesting problems both from the experimental and the theoretical points of view, also these materials recently being used in technological applications. Among these compounds, the multiferroics show a very rich set of physical properties. These materials have at least two of the following long-range correlations: (anti)ferromagnetism, ferroelasticity and ferroelectricity. However, the transitions need not necessarily to be correlated, but when it happens, they occur simultaneously, and the magnetoelectric effect can be induced by field. In this work, numerical calculations have been developed to simulate the magnetoelectric coupling present in the multiferroics minimizing the energy through Monte Carlo technique. Two simple models have been developed. The first model couples a spin 1/2 2D Ising magnetic lattice with to a 2D lattice of classic electric dipoles; this coupling is such that the change in the spin direction reorients a perpendicular component of the electric dipole neighbor of this same spin. Therefore, for this first model, the phase transitions of the magnetic and electric lattices occur at the same temperature, and the Hamiltonian is dependent of three parameters. For the second model, two lattices have been used again, a 2D Ising lattice for the magnetic system and an electric lattice that also behaves as a 2D Ising lattice. In this case, the coupling between the spin and the electric dipole occurs through a two-level system, generating the possibility of the independent transition temperatures for the two systems. This second model also contains three independent parameters / Mestrado / Física da Matéria Condensada / Mestre em Física

Submitted by Geyciane Santos (geyciane_thamires@hotmail.com) on 2015-08-06T14:07:38Z No. of bitstreams: 1 Dissertação - Isabel Cristina Souza Dinóla.pdf: 562066 bytes, checksum: fb6aeda0c4854690f169abad1c217b8d (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2015-08-07T13:20:19Z (GMT) No. of bitstreams: 1 Dissertação - Isabel Cristina Souza Dinóla.pdf: 562066 bytes, checksum: fb6aeda0c4854690f169abad1c217b8d (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2015-08-07T13:24:35Z (GMT) No. of bitstreams: 1 Dissertação - Isabel Cristina Souza Dinóla.pdf: 562066 bytes, checksum: fb6aeda0c4854690f169abad1c217b8d (MD5) / Made available in DSpace on 2015-08-07T13:24:35Z (GMT). No. of bitstreams: 1 Dissertação - Isabel Cristina Souza Dinóla.pdf: 562066 bytes, checksum: fb6aeda0c4854690f169abad1c217b8d (MD5) Previous issue date: 2009-05-22 / CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The phase diagram of the two-dimensional super-antiferromagnetic (SAF) Ising model in the presence of a magnetic field is investigated within the framework of a real-space renormalization-group approximation. We consider nearest neighbor ferromagnetic interactions along the x(y) direction and antiferromagnetic interactions in the y(x) direction. The system presents a ordered phase at low temperatures and zero fields. The presence of a magnetic field induces a competition between the energy interactions of the SAF Hamiltonian. The resulting behavior has been a matter of controversy in the last years. We depicted the main results in the magnetic field versus temperature phase diagram. A second-order transition line separates a super-antiferromagnetic phase from a field induced ferromagnetic phase. Our study reveals that the magnetic field induces a phase transition at a single temperature value, thus, we did not find any evidence of reentrant behavior as claimed by some authors. / Utilizamos uma técnica de grupo de renormalização no espaço real para estudar o sistema super antiferromagneto (SAF) de Ising bidimensional sob a influência de um campo magnético externo. Neste modelo as interações de primeiros vizinhos na direção x são ferromagnéticas e na direção y são antiferromagnéticas. Este sistema apresenta uma fase ordenada, para baixas temperaturas e campos nulos, com uma estrutura de linhas ferromagnéticas e colunas antiferromagnéticas. A aplicação do campo magnético induz uma competição entre as energias de interação do modelo e o comportamento resultante desta competição tem sido objeto de estudo e gerado algumas controvérsias nos últimos anos. Na presença do campo magnético observa-se, além da fase SAF, a fase ferromagnética induzida pelo campo (FIC). Apresentamos neste trabalho o diagrama de fases completo do sistema SAF no plano temperatura versus campo magnético. O diagrama de fases obtido mostra uma linha de transição de segunda ordem separando a fase SAF da fase FIC. Nossos resultados contrariam resultados anteriores que preveêm um comportamento reentrante no diagrama de fases do sistema SAF.

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In many systems of interest, both physical and biological, disorder inhibits the organization and cooperative properties of the system. Disorder can originate from a variety of system defects and the degree of disorder also varies. Geometric frustration introduces disorder into a system in which all the preferred interactions between the elements of the system cannot be satisfied due to the topology of an underlying lattice that describes the position of these elements. Recently, geometric frustration has been recognized as an important organizing principle in a diverse range of systems from superconducting networks to neural computation. The correlation behavior of such systems is often complicated and poorly understood. The myosin lattice of higher vertebrate muscle is a geometrically frustrated system, and the presence of this kind of disorder has prevented a rigorous interpretation of X-ray diffraction patterns from muscle fibres for the purposes of studying muscle molecular structure. This thesis investigates the correlation behavior of two geometrically frustrated systems, the triangular Ising antiferromagnet (TIA) and the fully frustrated square Ising model (FFS), and its use to interpret X-ray fibre diffraction patterns. A combination of numerical evaluation of exact expressions and Monte Carlo simulation is used to study a number of aspects of the two-point correlation function of the TIA and FFS. In the case of the TIA, a simple functional expression is developed that allows accurate calculation of the correlation function. Theory is developed for calculating diffraction by polycrystalline fibres of helical molecules, in which the constituent crystallites contain correlated substitution disorder. The theory was used to study the characteristics of diffraction by fibres with TIA-type substitution disorder statistics. A quantitative model of the disorder in the myosin filament array is developed and the above theory is used to calculate X-ray fibre diffraction from low resolution models of the myosin filament array in higher vertebrate muscle. The calculated diffraction is compared to measured diffraction data, showing good agreement.

No description available.

Thesis. 1976. Ph.D.--Massachusetts Institute of Technology. Dept. of Mathematics. / Microfiche copy available in Archives and Science. / Bibliography: leaves 171-175. / Ph.D.

Neste trabalho se estudou um modelo de Ising unidimensional com interações competitivas de curto e longo alcance, na presença de campo externo. O modelo é exatamente solúvel e apresenta um rico comportamento de fases, com a presença de regiões do espaço de parâmetros com transições de primeira e segunda ordens, e um ponto multicrítico. Foi obtida a solução exata do modelo, já conhecida na literatura, embora alguns aspectos do diagrama de fases ainda não tenham sido devidamente explorados. O objetivo principal do estudo foi determinar a existência ou não de um comportamento reentrante na magnetização, que ocasiona magnetizações nulas em temperaturas baixas. Comportamentos reentrantes têm sido observados em sistemas frustrados bi e tridimensionais, tanto em modelos analíticos quanto experimentalmente. No presente modelo não foi observado comportamento reentrante, mas salienta-se a existência de comportamentos singulares no parâmetro de ordem que resulta em modulações nas correlações espaciais. / In the present work, an unidimensional Ising model with long and short ranged interactions has been studied in the presence of an external applied field. The model is analytically solvable and displays a rich variety of phase behaviors, including regions in parameters space with first and second order transitions and a multicritical point. The exact solution for the model has been calculated and it is well known by the scientific literature, but some features, especially regarding the phase diagram, are yet to be explored. The main aim of this study was to determine if there is a reentrant behavior in the magnetization parameter, resulting in zero magnetizations at low temperatures. Reentrant behavior has been observed in frustrated and two-dimendional systems, in experimental systems as well as analytic models. In the present work a reentrant behavior was not found, however there is a big set of different behaviors in the order parameter generating modulations in the spatial correlations.

In this work we explore how lattice gauge theory stands to benefit from new developments in machine learning, and look at two specific examples that illustrate this point. We begin with a brief overview of selected topics in machine learning for those who may be unfamiliar, and provide a simple example that helps to show how these ideas are carried out in practice. After providing the relevant background information, we then introduce an example of renormalization group (RG) transformations, inspired by the tensor RG, that can be used for arbitrary image sets, and look at applying this idea to equilibrium configurations of the two-dimensional Ising model. The second main idea presented in this thesis involves using machine learning to improve the efficiency of Markov Chain Monte Carlo (MCMC) methods. Explicitly, we describe a new technique for performing Hamiltonian Monte Carlo (HMC) simulations using an alternative leapfrog integrator that is parameterized by weights in a neural network. This work is based on the L2HMC ('Learning to Hamiltonian Monte Carlo') algorithm introduced in [1].

<p>In this thesis we present a model of the interacting agents on the financial market. The agents are represented by a non-Euclidean random graph, where each agent communicate with another with probability p, and the interaction according to the Ising Model. We investigate properties of the model by direct calculations for small graph sizes, and by perfect simulation for larger graph sizes. We also present a model for asset price variation by using the magnetization of the Ising model.</p>

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