Search results for "HYSTERESIS"

showing 10 items of 245 documents

Stochastic resonance in magnetic systems described by Preisach hysteresis model

2005

We present a numerical study of stochastic resonance in magnetic systems described by Preisach hysteresis model. It is shown that stochastic resonance occurs in these systems. Specifically, the signal-to-noise ratio sSNRd and the signal amplification sSAd present a maximum as a function of noise intensity. We also found that the hysteresis loops, dynamically described by the system, are strongly modified near the maxima of SNR and of SA.

Physicsdipolesmagnetic momentMagnetic momentStochastic resonanceNumerical analysisGeneral Physics and AstronomymagnetizationMagnetic hysteresisMagnetizationsymbols.namesakeHysteresisGaussian noisesymbolsMagnetic nanoparticlesStatistical physicsStochastic resonanceJournal of Applied Physics
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Theory and modeling of polarization switching in ferroelectrics

2005

Abstract Kinetics of polarization response in ferroelectrics is reproduced within Langevin, Fokker–Planck and imaginary time Schrodinger equation techniques for energy functionals of growing complexity modeling an assembly of coarse grained particles with attractive first neighbor interaction. Symplectic integration based numerical approach captures dynamic hysteresis, polarization switching, and spatially extended stationary polarization. Solution of relevant nonstationary problem is adapted to large scale parallel computing.

Physicssymbols.namesakeClassical mechanicsMaterials ChemistryCeramics and CompositesFerroelectric hysteresissymbolsStatistical physicsSymplectic integratorPolarization (waves)FerroelectricityImaginary timeSchrödinger equationJournal of the European Ceramic Society
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Capillary pressure, hysteresis and residual saturation in porous media

2006

Abstract A macroscopic theory for capillarity in porous media is presented. The capillary pressure function in this theory is not an input parameter but an outcome. The theory is based on introducing the trapped or residual saturations as state variables. It allows to predict spatiotemporal changes in residual saturation. The theory yields process dependence and hysteresis in capillary pressure as its main result.

Physics::Fluid DynamicsStatistics and ProbabilityState variableCapillary pressureHysteresisMaterials scienceMultiphase flowMechanicsFunction (mathematics)Condensed Matter PhysicsPorous mediumResidualCapillary numberPhysica A: Statistical Mechanics and its Applications
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Josephson junctions and SQUIDs based on artificial grain boundaries in Bi 2 Sr 2 Ca 2 Cu 3 O 10 -thin films

1996

ABSTRACT High quality thin films of Bi2 Sr Ca2 Cu3 0 with critical temperatures of 95 K were used to prepare grainboundary josephson junctions on commercial 36.8° SrTiOg-bicrystal substrates. IR-products of 50 pV at 77 Kand 0.7 mV at 4.2 K have been reached. For temperatures higher than 50 K the current-voltage curves of thejunctions can be well described by the resistively shunted junction (RSJ) model and show no hysteresis. Fromthe hysteretic behavior at low temperature we estimate a junction capacitance of 2ljiF/cm2. The Fraunhoferpattern of the critical current in an external applied field shows, that the junctions are inhomogeneous on a pm scale. The SQUID modulation of a 30 x 40 pm2 w…

Pi Josephson junctionSuperconductivitySQUIDJosephson effectHysteresisMaterials scienceCondensed matter physicslawGrain boundaryThin filmDiffusion capacitancelaw.inventionOxide Superconductor Physics and Nano-Engineering II
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Spin crossover properties of the [Fe(PM-BiA)2(NCS)2] complex - phases I and II

2003

International audience; In the present review, we reexamine the photomagnetic properties of the [Fe(PM-BiA)2(NCS)2], cis-bis(thiocyanato)-bis[(N-2'-pyridylmethylene)-4-(aminobiphenyl)]iron(II), compound which exhibits, depending on the synthetic method, an exceptionally abrupt spin transition (phase I) with a very narrow hysteresis (T1/2O = 168 K and T1/2N = 173 K) or a gradual spin conversion (phase II) occurring at 190 K. In both cases, light irradiation in the tail of the 1MLCT-LS absorption band, at 830 nm, results in the population of the high-spin state according to the light-induced excited spin-state trapping (LIESST) effect. The capacity of a compound to retain the light-induced HS…

PopulationAnalytical chemistrySpin transition02 engineering and technology010402 general chemistry01 natural sciencesLIESSTSpin crossoverPhase (matter)educationKinetic relaxationeducation.field_of_studyCondensed matter physicsChemistryGeneral ChemistryIron(II)[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnologyPhotomagnetismSpin crossover0104 chemical sciencesKinetic relaxation.HysteresisExcited state0210 nano-technologyPhotomagnetism
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A dynamic model for hysteresis in magnetostrictive devices

2014

In this paper, a dynamic model for the description and design of hysteresis in magnetostrictive devices is presented. The model is based on Preisach theory and its dynamic extension. A procedure for determining the Preisach distribution function is given. This procedure is based on neural networks. The model is able to reconstruct both the magnetization relation and the field-strain relation. The model is validated through comparison and prediction of data collected from a typical Terfenol-D sample and a novel experimental technique dedicated to the validation of dynamic models is proposed.

Preisach distribution functionRelation (database)Artificial neural networkComputer scienceExperimental techniqueGeneral Physics and AstronomyMagnetostrictionMagnetic hysteresisHysteresisDistribution functionTerfenol-DPreisach theoryControl theoryDynamic ExtensionHysteresiMagnetostrictive devices Dynamic extensionTerfenol-DJournal of Applied Physics
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A Novel Neural Approach to the Determination of the Distribution Function in Magnetic Preisach Systems

2004

This paper presents a novel method to identify both the functional dependence of the Preisach function as well as its numerical parameters on the basis of some known magnetic behavior. In this paper, the identification of the Preisach function of a material is performed by using a neural network trained by a collection of hysteresis curves, whose Preisach functions are known. When a new hysteresis curve is given as input to this neural network, it is able to give as output both the functional dependence of the Preisach function as well as its numerical parameters.

Preisach model of hysteresisBasis (linear algebra)Computer scienceHysteresisFunction (mathematics)Magnetic hysteresisHysteresis loopsElectronic Optical and Magnetic Materialsvector hysteresisIdentification (information)HysteresisDistribution functionElectrical and Electronic EngineeringBiological systemIEEE Transactions on Magnetics
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On the dependence of magnetic stochastic resonance features on the features of magnetic hysteresis

2005

Numerical study of magnetic stochastic resonance (SR) in several magnetic systems having different hysteresis loops was performed. The various hysteresis loops were modeled by using Preisach model in which several identification functions were used. The results showed the dependence of SR on the parameters of Preisach function. The results also showed how the field H/sub 0/ shifted the onset of SR and how a large dispersion of the distribution of hysterons degraded the SR.

Preisach model of hysteresisMaterials scienceField (physics)Condensed matter physicsStochastic resonanceStochastic processMagnetic hysteresisCircuit resonanceHysteresisNuclear magnetic resonanceDistribution (mathematics)Magnetic resonanceDispersion (optics)vibrational resonance
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Magnetic Stochastic Resonance in systems described by Dynamic Preisach Model

2008

Stochastic resonance (SR) is generally considered as an enhancement of the system response for certain finite values of the noise strength. In particular the signal to noise ratio (SNR) and the signal amplification show a maximum as a function of the noise intensity. This effect has been experimentally observed in many physical systems and also in magnetic systems. However, as far as magnetic systems are concerned, the dynamic features of the systems have been neglected and it has been assumed that the typical relaxation time is negligible. However this is clearly a rough approximation. In order to clarify this relation, in this paper we numerically study magnetic stochastic resonance in se…

Preisach model of hysteresisStochastic modellingStochastic resonancePhysical systemSignalMagnetizationNuclear magnetic resonanceSignal-to-noise ratioStatistical physicsElectrical and Electronic EngineeringNoise strengthPhysicsCondensed matter physicsMathematical analysisResonanceFunction (mathematics)Condensed Matter PhysicsMagnetic hysteresisCircuit resonanceElectric machinesDynamic Preisach modelElectronic Optical and Magnetic MaterialsHysteresisMagnetic resonanceMagnetic deviceHysteresivibrational resonanceSignal amplificationStochastic resonanceINTERMAG 2006 - IEEE International Magnetics Conference
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Forming pressure dependence of the ferroelectric domain structure in green barium titanate pellets

1995

Abstract Modifications of the X-ray diffraction line profiles by die pressing of fine grained powders of barium titanate have been studied. Two main parameters have been considered: the forming pressure and the mechanical characteristics of the binder. The higher the forming pressure, the greater the modifications of the line profiles. Furthermore, the phenomena seems to be related to pressing only; no significant effect related to the nature of the binder has been shown. The modifications of the diffraction line profiles are interpreted by considering a reduction of the size of the ferroelectric domains during pressing. In order to confirm this interpretation, the behaviour of the domain s…

PressingDiffractionbusiness.product_categoryMaterials sciencePelletsMineralogyFerroelectricityHysteresischemistry.chemical_compoundchemistryBarium titanateMaterials ChemistryCeramics and CompositesDie (manufacturing)Composite materialbusinessSingle crystalJournal of the European Ceramic Society
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