Search results for "Ising Model"

showing 10 items of 241 documents

Finite-size scaling in Ising-like systems with quenched random fields: Evidence of hyperscaling violation

2010

In systems belonging to the universality class of the random field Ising model, the standard hyperscaling relation between critical exponents does not hold, but is replaced by a modified hyperscaling relation. As a result, standard formulations of finite size scaling near critical points break down. In this work, the consequences of modified hyperscaling are analyzed in detail. The most striking outcome is that the free energy cost \Delta F of interface formation at the critical point is no longer a universal constant, but instead increases as a power law with system size, \Delta F proportional to $L^\theta$, with $\theta$ the violation of hyperscaling critical exponent, and L the linear ex…

Random fieldStatistical Mechanics (cond-mat.stat-mech)Physical constantFOS: Physical sciencesRenormalization group01 natural sciencesPower lawCritical point (mathematics)010305 fluids & plasmasQuantum electrodynamics0103 physical sciencesIsing modelStatistical physics010306 general physicsCritical exponentScalingCondensed Matter - Statistical MechanicsMathematicsPhysical Review E
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Domain walls and ising-BLOCH transitions in parametrically driven systems.

2002

Parametrically driven systems sustaining sech solitons are shown to support a new kind of localized state. These structures are walls connecting two regions oscillating in antiphase that form in the parameter domain where the sech soliton is unstable. Depending on the parameter set the oppositely phased domains can be either spatially uniform or patterned. Both chiral (Bloch) and nonchiral (Ising) walls are found, which bifurcate one into the other via an Ising-Bloch transition. While Ising walls are at rest Bloch walls move and may display secondary bifurcations leading to chaotic wall motion.

Rest (physics)PhysicsClassical mechanicsCondensed matter physicsChaoticGeneral Physics and AstronomyIsing modelWall motionSolitonNonlinear Sciences::Pattern Formation and SolitonsDomain (mathematical analysis)Physical review letters
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Introduction: Purpose and Scope of this Volume, and Some General Comments

2002

In recent years the method of “computer simulation” has started something like a revolution of science: the old division of physics (as well as chemistry, biology, etc.) into “experimental” and “theoretical” branches is no longer really complete. Rather, “computer simulation” has become a third branch complementary to the first two traditional approaches.

Scope (project management)Monte Carlo methodCalculusInteratomic potentialIsing modelDivision (mathematics)Volume (compression)
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Diffusion modeling of COVID-19 under lockdown

2021

Viral immune evasion by sequence variation is a significant barrier to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine design and coronavirus disease-2019 diffusion under lockdown are unpredictable with subsequent waves. Our group has developed a computational model rooted in physics to address this challenge, aiming to predict the fitness landscape of SARS-CoV-2 diffusion using a variant of the bidimensional Ising model (2DIMV) connected seasonally. The 2DIMV works in a closed system composed of limited interaction subjects and conditioned by only temperature changes. Markov chain Monte Carlo method shows that an increase in temperature implicates reduced virus diffusi…

Settore MED/17 - Malattie InfettiveCoronavirus disease 2019 (COVID-19)Fitness landscapeSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)virusesComputational Mechanicsmedicine.disease_cause01 natural sciencesSettore MED/01 - Statistica Medica010305 fluids & plasmassymbols.namesakeARTICLES0103 physical sciencesmedicineStatistical physicsDiffusion (business)010306 general physicsCoronavirusFluid Flow and Transfer ProcessesPhysicsDiffusion modelingBiofluid MechanicsMechanical EngineeringMarkov chain Monte CarloCondensed Matter PhysicsDiffusion modeling COVI 19Mechanics of MaterialssymbolsIsing modelPhysics of Fluids
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Confined Crystals on Substrates: Order and Fluctuations in Between One and Two Dimensions

2010

The effect of lateral confinement on a crystal of point particles in d = 2 dimensions in a strip geometry is studied by Monte Carlo simulations and using phe- nomenological theoretical concepts. Physically, such systems confined in long strips of width D can be realized via colloidal particles at the air-water interface, or by adsorbed monolayers at suitably nanopatterned substrates, etc. As a generic model, we choose a repulsive interparticle potential decaying with the twelfth inverse power of distance. This system has been well studied in the bulk as a model for two- dimensional melting. The state of the system is found to depend very sensitively on the boundary conditions providing the …

Shear modulusCrystalPhase transitionMaterials scienceCondensed matter physicsHexagonal latticeIsing modelSolitonBoundary value problemColloidal crystal
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Ordering of two-dimensional crystals confined in strips of finite width.

2007

Monte Carlo simulations are used to study the effect of confinement on a crystal of point particles interacting with an inverse power law potential $\ensuremath{\propto}{r}^{\ensuremath{-}12}$ in $d=2$ dimensions. This system can describe colloidal particles at the air-water interface, a model system for experimental study of two-dimensional melting. It is shown that the state of the system (a strip of width $D$) depends very sensitively on the precise boundary conditions at the two ``walls'' providing the confinement. If one uses a corrugated boundary commensurate with the order of the bulk triangular crystalline structure, both orientational order and positional order is enhanced, and suc…

Shear modulusPhysicsPhase transitionCondensed matter physicsLattice (order)Logarithmic growthHexagonal latticeIsing modelBoundary value problemColloidal crystalPhysical review. E, Statistical, nonlinear, and soft matter physics
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The manifestation of dipoles clustering in paraelectric phase of disordered ferroelectrics

2001

Abstract We predict the existence of Griffiths phase in the dielectrics with concentrational crossover between dipole glass (electric analog of spin glass) and ferroelectricity. The peculiar representatives of above substances are KTaO3: Li, Nb, Na or relaxor ferroelectrics like Pb1−xLaxZr0.65Ti0.35O3. Since this phase exists above ferroelectric phase transition temperature (but below that temperature for ordered substance), we call it “para-glass phase”. We assert that the difference between paraelectric and para-glass phase of above substances is the existence of clusters (inherent to “ordinary” Griffiths phase in Ising magnets) of correlated dipoles. We show that randomness play a decisi…

Spin glassMaterials scienceCondensed matter physicsTransition temperatureCondensed Matter PhysicsCondensed Matter::Disordered Systems and Neural NetworksFerroelectricityElectronic Optical and Magnetic MaterialsCondensed Matter::Materials ScienceElectric dipole momentDipoleMean field theoryPhase (matter)Ising modelFerroelectrics
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Performance potential for simulating spin models on GPU

2012

Graphics processing units (GPUs) are recently being used to an increasing degree for general computational purposes. This development is motivated by their theoretical peak performance, which significantly exceeds that of broadly available CPUs. For practical purposes, however, it is far from clear how much of this theoretical performance can be realized in actual scientific applications. As is discussed here for the case of studying classical spin models of statistical mechanics by Monte Carlo simulations, only an explicit tailoring of the involved algorithms to the specific architecture under consideration allows to harvest the computational power of GPU systems. A number of examples, ran…

Spin glassPhysics and Astronomy (miscellaneous)Computer scienceMonte Carlo methodFOS: Physical sciencesComputational scienceCUDAHigh Energy Physics - LatticeStatistical physicsGraphicsCondensed Matter - Statistical MechanicsNumerical AnalysisStatistical Mechanics (cond-mat.stat-mech)Applied MathematicsHigh Energy Physics - Lattice (hep-lat)RangingStatistical mechanicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)Computer Science ApplicationsComputational MathematicsModeling and SimulationIsing modelParallel temperingPhysics - Computational Physics
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First-order and tricritical wetting transitions in the two-dimensional Ising model caused by interfacial pinning at a defect line

2014

We present a study of the critical behavior of the Blume-Capel model with three spin states (S=±1,0) confined between parallel walls separated by a distance L where competitive surface magnetic fields act. By properly choosing the crystal field (D), which regulates the density of nonmagnetic species (S=0), such that those impurities are excluded from the bulk (where D=) except in the middle of the sample [where DM(L/2)≠], we are able to control the presence of a defect line in the middle of the sample and study its influence on the interface between domains of different spin orientations. So essentially we study an Ising model with a defect line but, unlike previous work where defect lines …

Spin statesCiencias FísicasMateriales confinadosInterfacesPhase Transition//purl.org/becyt/ford/1 [https]ImpurityComputer SimulationSimulaciones computacionalesPhase diagramPhysicsCondensed matter physics//purl.org/becyt/ford/1.3 [https]Models TheoreticalFirst orderMagnetic fieldHysteresisMagnetic FieldsWettabilityThermodynamicsTransiciones de mojadoIsing modelWettingMonte Carlo MethodCIENCIAS NATURALES Y EXACTASFísica de los Materiales CondensadosPhysical Review E
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Simulating spin models on GPU

2010

Over the last couple of years it has been realized that the vast computational power of graphics processing units (GPUs) could be harvested for purposes other than the video game industry. This power, which at least nominally exceeds that of current CPUs by large factors, results from the relative simplicity of the GPU architectures as compared to CPUs, combined with a large number of parallel processing units on a single chip. To benefit from this setup for general computing purposes, the problems at hand need to be prepared in a way to profit from the inherent parallelism and hierarchical structure of memory accesses. In this contribution I discuss the performance potential for simulating…

Statistical Mechanics (cond-mat.stat-mech)Computer scienceHigh Energy Physics - Lattice (hep-lat)Monte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyParallel computingComputational Physics (physics.comp-ph)Power (physics)CUDAHigh Energy Physics - LatticeParallel processing (DSP implementation)Hardware and ArchitectureParallelism (grammar)Ising modelGraphicsPhysics - Computational PhysicsVideo gameCondensed Matter - Statistical MechanicsComputer Physics Communications
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