Search results for " glass"

showing 10 items of 409 documents

Disordered and Frustrated Spin Systems

2007

A brief review on the effects of quenched disorder on magnetic ordering is given. This disorder can be due to dilution of a ferro- or antiferromagnetic crystal with nonmagnetic atoms, or due to noncrystallinity (amorphous magnetic systems). This disorder in the positions of the magnetic atoms leads to disorder in the exchange interactions between spins. If the disorder is sufficiently weak, the critical temperature of magnetic ordering is somewhat decreased, and the critical behavior may change, but the nature of ordering is maintained. However, if the disorder is sufficiently strong, magnetic long-range order may disappear altogether at a percolation threshold, or a new type of order may a…

Spin glassMaterials scienceCondensed matter physicsSpinsmedia_common.quotation_subjectGeometrical frustrationFrustrationPercolation thresholdCondensed Matter::Disordered Systems and Neural NetworksFerromagnetismOrder and disorderAntiferromagnetismCondensed Matter::Strongly Correlated Electronsmedia_common
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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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Effect of structural and compositional inhomogeneities on spin-glass transition in Hg1−x−yCrxMnySe crystals

2004

Abstract We report experimental results on the growth of Hg 1 −x−y Cr x Mn y Se crystals and their magnetic susceptibility χ ( T ) in dependence on the crystal structure and composition. It was found that the crystals with the Mn composition y =0.01–0.08 exhibit the spin-glass transition temperature T g =100–110 K. An increase of y value leads to the saturation of the χ max and T g characteristics in the composition ranges of y >0.06 and y >0.02, respectively. This phenomenon is explained as a result of phase-separated magnetic behavior caused by the formation of HgCr 2 Se 4 inclusions and textures.

Spin glassScanning electron microscopeChemistryTransition temperatureAnalytical chemistryCrystal structureMagnetic semiconductorCondensed Matter PhysicsMagnetic susceptibilityInorganic ChemistryNuclear magnetic resonanceMaterials ChemistryGlass transitionSaturation (magnetic)Journal of Crystal Growth
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Dynamical susceptibility from simulations of a mean field Potts glass

2004

Abstract We present results of the non-linear dynamic susceptibility χ(t) in a mean field Potts glass from simulations in a wide range of temperatures above the theoretically predicted dynamical transition, for various system sizes up to 2560 spins. χ(t) has a maximum, with a height that diverges like (T−TD)−α, with α≈1. The timescale t ∗ associated with this maximum also approaches a singularity, and we show that its behavior is compatible with the relaxation time of the standard time-dependent spin autocorrelation function, also with respect to finite size effects. We find that χ(t) for temperatures near the transition temperature TD satisfies a dynamical scaling property.

Statistics and ProbabilityPhysicsSingularitySpin glassMean field theoryCondensed matter physicsSpinsTransition temperatureAutocorrelationStatistical physicsCondensed Matter PhysicsGlass transitionSpin-½Physica A: Statistical Mechanics and its Applications
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Quantum vector spin-glass in a field: results for general spin

1991

Abstract In this paper we investigate the infinite-ranged quantum Heisenberg spin-glass in an applied field for a general spin s without the use of the static approximation. The Suzuki-Trotter method is used to map the system into a classical one for general spin s. Results for spin 1 2 and spin 1 are explicitly obtained and the phase diagram agrees qualitatively but not exactly with previous results obtained by us using the static approximation.

Statistics and ProbabilityPhysicsSpin glassField (physics)Quantum mechanicsCondensed Matter::Strongly Correlated ElectronsCondensed Matter PhysicsQuantumSpin-½Phase diagramPhysica A: Statistical Mechanics and its Applications
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cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values

2023

Sparse graphical models have revolutionized multivariate inference. With the advent of high-dimensional multivariate data in many applied fields, these methods are able to detect a much lower-dimensional structure, often represented via a sparse conditional independence graph. There have been numerous extensions of such methods in the past decade. Many practical applications have additional covariates or suffer from missing or censored data. Despite the development of these extensions of sparse inference methods for graphical models, there have been so far no implementations for, e.g., conditional graphical models. Here we present the general-purpose package cglasso for estimating sparse co…

Statistics and Probabilityconditional Gaussian graphical modelscglasso conditional Gaussian graphical models glasso high-dimensionality sparsity censoring missing dataglassosparsityhigh-dimensionalityconditional Gaussian graphical models glasso high-dimensionality sparsity censoring missing datacglassomissing datacensoringStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaSoftware
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The Gauge Glass Transition

1993

Results of Monte Carlo simulations in three and four spatial dimensions of a simple model that seems to have the necessary ingredients for disordered type-II superconductor behavior in an external magnetic field are reported. The data suggest that in d = 3 dimensions there is a finite temperature phase transition at T ≈ 0.45 into a truly superconducting vortex glass phase with infinite d.c. conductivity The (effective) correlation length exponent v and the dynamic critical exponent z at this transition are in good agreement with experiments. In d = 4 dimensions the gauge glass transition is located at T ≈ 0.95. It is concluded that the lack of time reversal symmetry in the model places it i…

SuperconductivityPhysicsPhase transitionSpin glassCondensed matter physicsPhase (matter)ExponentRenormalization groupGlass transitionCritical exponent
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Investigation on the influence of the surface resin rich layer on the thermoelastic signal from different composite laminate lay-ups

2006

This work presents a set of experimental results based on the measured thermoelastic signal from GRP composite coupons adopting different lay-ups. A comparison is made with the thermoelastic signal predicted by two different analytical models: one based on the classical law of the thermoelastic effect for orthotropic materials, and the other based on a novel theory accounting for the presence of a resin layer on the external surface of the composite structure. The composite coupons were designed such to determine a significant difference in the predictions made by the two theoretical models. Experimental results have shown a far better match with the predictions based on the novel theory ac…

Surface (mathematics)Work (thermodynamics)Materials scienceComposite numberTheoretical modelsThermoelastic stress analysisDeltatherm Glass Reinforced Composite Laminates Strain Witness Thermoelastic Stress AnalysisThermoelastic stress analysis; glass reinforced composite laminates; strain witness; DeltaThermGeneral MedicineOrthotropic materialSignalSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineThermoelastic dampingglass reinforced composite laminatesDeltaThermComposite materialstrain witnessLayer (electronics)
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2D dynamical arrest transition in a mixed nanoparticle-phospholipid layer studied in real and momentum spaces

2015

AbstractWe investigate the interfacial dynamics of a 2D self-organized mixed layer made of silica nanoparticles interacting with phospholipid (DPPC) monolayers at the air/water interface. This system has biological relevance, allowing investigation of toxicological effects of nanoparticles on model membranes and lung surfactants. It might also provide bio-inspired technological solutions, exploiting the self-organization of DPPC to produce a non-trivial 2D structuration of nanoparticles. The characterization of interfacial dynamics yields information on the effects of NPs on the mechanical properties, important to improve performances of systems such as colloidosomes, foams, creams. For thi…

Surface PropertiesComputer sciencePhospholipidNanoparticleRELAXATIONCOLLOIDOSOMESRespiratory physiologySurface pressureArticleMomentumchemistry.chemical_compoundPhase (matter)MonolayerParticle SizeSILICA NANOPARTICLESPhospholipidsBrownian motionSimulation[PHYS]Physics [physics]MultidisciplinaryAirRelaxation (NMR)WaterPulmonary SurfactantsModels TheoreticalSilicon DioxideSURFACTANTCharacterization (materials science)MembranechemistryChemical physicsNanoparticlesWater chemistryParticle sizeCOLLOIDAL GLASS-TRANSITIONAlgorithmsScientific Reports
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