Search results for "Ising Model"

showing 10 items of 241 documents

Modelling of two step high spin⇌low spin transitions using the cluster variation method

1998

Abstract A thermodynamic description of high spin (HS)⇌low spin (LS) transition curves beyond the Bragg–Williams approximation is given using the Kikuchi cluster variation method (CVM). Transition curves of unusual behaviour (i.e. two step transition) are reproduced by short range interaction energies which are present in addition to long range elastic interaction between the spin changing molecules. The correlations in the distribution of the spin changing centers can be expressed analytically. They give rise to a reduced mixing entropy which was found experimentally in compounds with two step transitions.

Condensed matter physicsSpin statesSpin crossoverIsing systemChemistryTwo stepMoleculeGeneral Materials ScienceIsing modelGeneral ChemistryCondensed Matter PhysicsEntropy (order and disorder)Journal of Physics and Chemistry of Solids
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A finite size scaling study of the five-dimensional Ising model

1994

For systems above the marginal dimension d*, where mean field theory starts to become valid, such as Ising models in d = 5 for which d* = 4, hyperscaling is invalid and hence it was suggested that finite size scaling is not ruled by the correlation length ξ (∝ |t| −1/2 in Landau theory, t being the distance from the critical point) but by a “thermodynamic length” l (∝ |t| −2/d). Early simulation work by Binder et al. using nearest neighbor hypercubic L5 lattices with L ⩽ 7 yielded some evidence for this prediction, but the renormalized coupling constant gL = −3 + 〈M4〉/〈M2〉2 at Tc was gL ≈ −1.0 instead of the prediction of Brezin and Zinn-Justin, gL(Tc) = −3 + Γ4(1/4)/(8 π2) ≈ −0.812. In the…

Coupling constantPhysicsMean field theoryCondensed matter physicsCritical point (thermodynamics)General Physics and AstronomyIsing modelCoupling (probability)ScalingLandau theoryk-nearest neighbors algorithmAnnalen der Physik
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Multi-GPU Accelerated Multi-Spin Monte Carlo Simulations of the 2D Ising Model

2010

A Modern Graphics Processing unit (GPU) is able to perform massively parallel scientific computations at low cost. We extend our implementation of the checkerboard algorithm for the two-dimensional Ising model [T. Preis et al., Journal of Chemical Physics 228 (2009) 4468–4477] in order to overcome the memory limitations of a single GPU which enables us to simulate significantly larger systems. Using multi-spin coding techniques, we are able to accelerate simulations on a single GPU by factors up to 35 compared to an optimized single Central Processor Unit (CPU) core implementation which employs multi-spin coding. By combining the Compute Unified Device Architecture (CUDA) with the Message P…

FOS: Computer and information sciencesComputer scienceMonte Carlo methodGraphics processing unitFOS: Physical sciencesGeneral Physics and AstronomyMathematical Physics (math-ph)Parallel computingGPU clusterComputational Physics (physics.comp-ph)Graphics (cs.GR)Computational scienceCUDAComputer Science - GraphicsHardware and ArchitectureIsing modelCentral processing unitGeneral-purpose computing on graphics processing unitsMassively parallelPhysics - Computational PhysicsMathematical Physics
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The spin-1/2 Kagome XXZ model in a field: competition between lattice nematic and solid orders

2016

We study numerically the spin-1/2 XXZ model in a field on an infinite Kagome lattice. We use different algorithms based on infinite Projected Entangled Pair States (iPEPS) for this, namely: (i) with simplex tensors and 9-site unit cell, and (ii) coarse-graining three spins in the Kagome lattice and mapping it to a square-lattice model with nearest-neighbor interactions, with usual PEPS tensors, 6- and 12-site unit cells. Similarly to our previous calculation at the SU(2)-symmetric point (Heisenberg Hamiltonian), for any anisotropy from the Ising limit to the XY limit, we also observe the emergence of magnetization plateaus as a function of the magnetic field, at $m_z = \frac{1}{3}$ using 6-…

FOS: Physical sciences02 engineering and technology01 natural sciencesCondensed Matter - Strongly Correlated Electronssymbols.namesakeMagnetizationHigh Energy Physics - LatticeLattice (order)Quantum mechanics0103 physical sciencesTensor010306 general physicsComputingMilieux_MISCELLANEOUSPhysicsQuantum PhysicsSimplexStrongly Correlated Electrons (cond-mat.str-el)Degenerate energy levelsHigh Energy Physics - Lattice (hep-lat)021001 nanoscience & nanotechnologysymbolsIsing modelQuantum spin liquid[PHYS.COND.CM-SCE]Physics [physics]/Condensed Matter [cond-mat]/Strongly Correlated Electrons [cond-mat.str-el]0210 nano-technologyHamiltonian (quantum mechanics)Quantum Physics (quant-ph)
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Quantum gap and spin-wave excitations in the Kitaev model on a triangular lattice

2017

We study the effects of quantum fluctuations on the dynamical generation of a gap and on the evolution of the spin-wave spectra of a frustrated magnet on a triangular lattice with bond-dependent Ising couplings, analog of the Kitaev honeycomb model. The quantum fluctuations lift the subextensive degeneracy of the classical ground-state manifold by a quantum order-by-disorder mechanism. Nearest-neighbor chains remain decoupled and the surviving discrete degeneracy of the ground state is protected by a hidden model symmetry. We show how the four-spin interaction, emergent from the fluctuations, generates a spin gap shifting the nodal lines of the linear spin-wave spectrum to finite energies.

Frustrated magnetismFOS: Physical sciencesBond-dependent Ising couplingsQuantum fluctuations01 natural sciencesTriangular lattice010305 fluids & plasmasCondensed Matter - Strongly Correlated ElectronsSpin waveQuantum mechanics0103 physical sciencesSpin gapHexagonal latticeElectrical and Electronic Engineering010306 general physicsQuantumQuantum fluctuationSpin-½PhysicsCondensed matter physicsStrongly Correlated Electrons (cond-mat.str-el)Condensed Matter PhysicsElectronic Optical and Magnetic MaterialsBond-dependent Ising couplings; Frustrated magnetism; Linear spin-wave spectrum; Quantum fluctuations; Spin gap; Triangular lattice;Ising modelGround stateDegeneracy (mathematics)Linear spin-wave spectrum
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Spin Glasses on Thin Graphs

1995

In a recent paper we found strong evidence from simulations that the Isingantiferromagnet on ``thin'' random graphs - Feynman diagrams - displayed amean-field spin glass transition. The intrinsic interest of considering such random graphs is that they give mean field results without long range interactions or the drawbacks, arising from boundary problems, of the Bethe lattice. In this paper we reprise the saddle point calculations for the Ising and Potts ferromagnet, antiferromagnet and spin glass on Feynman diagrams. We use standard results from bifurcation theory that enable us to treat an arbitrary number of replicas and any quenched bond distribution. We note the agreement between the f…

High Energy Physics - TheoryNuclear and High Energy PhysicsSpin glassCondensed Matter (cond-mat)FOS: Physical sciencesCondensed Matter01 natural sciencesCondensed Matter::Disordered Systems and Neural Networks010305 fluids & plasmassymbols.namesakeHigh Energy Physics - LatticeSaddle point0103 physical sciencesAntiferromagnetismFeynman diagram010306 general physicsRandom graphPhysicsBethe latticeCondensed matter physicsHigh Energy Physics - Lattice (hep-lat)Mean field theoryHigh Energy Physics - Theory (hep-th)symbolsIsing modelCondensed Matter::Strongly Correlated Electrons
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Fine Grained Tensor Network Methods.

2020

We develop a strategy for tensor network algorithms that allows to deal very efficiently with lattices of high connectivity. The basic idea is to fine-grain the physical degrees of freedom, i.e., decompose them into more fundamental units which, after a suitable coarse-graining, provide the original ones. Thanks to this procedure, the original lattice with high connectivity is transformed by an isometry into a simpler structure, which is easier to simulate via usual tensor network methods. In particular this enables the use of standard schemes to contract infinite 2d tensor networks - such as Corner Transfer Matrix Renormalization schemes - which are more involved on complex lattice structu…

High Energy Physics - TheoryQuantum PhysicsStrongly Correlated Electrons (cond-mat.str-el)Computer scienceHigh Energy Physics - Lattice (hep-lat)General Physics and AstronomyFOS: Physical sciencesCrystal structure01 natural sciencesTransfer matrixUnitary stateRenormalizationCondensed Matter - Strongly Correlated ElectronsHigh Energy Physics - LatticeHigh Energy Physics - Theory (hep-th)Lattice (order)0103 physical sciencesHexagonal latticeIsing modelGranularityStatistical physics010306 general physicsQuantum Physics (quant-ph)Physical review letters
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Critical phenomena without “hyper scaling”: How is the finite-size scaling analysis of Monte Carlo data affected?

2010

Abstract The finite size scaling analysis of Monte Carlo data is discussed for two models for which hyperscaling is violated: (i) the random field Ising model (using a model for a colloid-polymer mixture in a random matrix as a representative) (ii) The Ising bi-pyramid in computing surface fields.

Hybrid Monte CarloPhysicsQuantum Monte CarloMonte Carlo methodCondensed Matter::Statistical MechanicsDynamic Monte Carlo methodMonte Carlo integrationIsing modelMonte Carlo method in statistical physicsStatistical physicsPhysics and Astronomy(all)Condensed Matter::Disordered Systems and Neural NetworksMonte Carlo molecular modelingPhysics Procedia
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Enhancement of stability in systems with metastable states

2007

The investigation of noise‐induced phenomena in far from equilibrium systems is one of the approach used to understand the behaviour of physical and biological complex systems. Metastability is a generic feature of many nonlinear systems, and the problem of the lifetime of metastable states involves fundamental aspects of nonequilibrium statistical mechanics. The enhancement of the life‐time of metastable states through the noise enhanced stability effect and the role played by the resonant activation phenomenon will be discussed in models of interdisciplinary physics: (i) Ising model (ii) Josephson junction; (iii) stochastic FitzHugh‐Nagumo model; (iv) a population dynamics model, and (v) …

Josephson effectPhysicseducation.field_of_studySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStochastic volatilityStochastic processPopulationComplex systemStatistical mechanicsNoise Enhanced StabilityStochastic modeling of biological and medical physicsMetastabilityQuantum mechanicsMetastabilityIsing modelStochastic dynamicStatistical physicsMetastability; Noise Enhanced Stability; Stochastic dynamics; Stochastic modeling of biological and medical physicseducation
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Guide to Practical Work with the Monte Carlo Method

2002

The guide is structured such that we proceed from the “easy” simulation methods and algorithms to the more sophisticated. For each method the algorithms are presented by the technique of stepwise refinement. We first present the idea and the basic outline. From then on we proceed by breaking up the larger logical and algorithmic structures into smaller ones, until we have reached the level of single basic statements. Sometimes we may elect not to go to such a depth and the reader is asked to fill in the gaps.

Logical conjunctionComputer scienceMonte Carlo methodDynamic Monte Carlo methodIsing modelMonte Carlo method in statistical physicsRandom walkAlgorithmImportance samplingMonte Carlo molecular modeling
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