Search results for " magnetic materials"

showing 10 items of 4666 documents

The Electrical Properties of Ba1-ySryZrxTi1-xO3Solid Solution

2011

A lead-free solid solution Ba0.80Sr0.20Ti0.75Zr0.25O3 was prepared by a conventional technology. The structure and morphology of investgated samples were characterised by X-ray diffraction (XRD) and scanning electron microscopy (SEM). The studies of electric conductivity were performed depending on temperature and frequency of electric measuring field. The activation energy was calculated from the Arrhenius plots.

Arrhenius equationDiffractionMaterials scienceMorphology (linguistics)Field (physics)Scanning electron microscopeAnalytical chemistryActivation energyCondensed Matter PhysicsElectronic Optical and Magnetic Materialssymbols.namesakeElectrical resistivity and conductivitysymbolsSolid solutionFerroelectrics
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O2 Diffusion in Amorphous SiO2 Nanoparticles Probed by Outgassing

2012

An experimental study of the O2 diffusion process in nanoparticles of amorphous SiO2 in the temperature range from 98 to 157 °C was carried out by Raman and photoluminescence techniques. We studied O2 diffusion in high purity silica nanoparticles with a mean diameter of 14, 20, and 40 nm detecting the outgassing of molecules trapped during the manufacturing. The kinetics of diffusion is well described for all the investigated nanoparticles by the Fick’s equation proving its applicability to nanoscale systems. The diffusion coefficient features an Arrhenius law temperature dependence in the explored temperature range, and the diffusion coefficient values are in good agreement with extrapolat…

Arrhenius equationMaterials scienceDiffusionSettore FIS/01 - Fisica Sperimentalenanosilica diffusion raman spectroscopyAnalytical chemistryPhysics::OpticsAtmospheric temperature rangeSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsAmorphous solidOutgassingsymbols.namesakeGeneral EnergyDiffusion processsymbolsEffective diffusion coefficientPhysical and Theoretical ChemistryRaman spectroscopyThe Journal of Physical Chemistry C
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Effect of Zr4+Doping on the Electrical Properties of BaTiO3Ceramics

2011

The BaZrxTi1-xO3 for 0⩽x⩽15 ceramics were prepared by a conventional solid state reaction method and were determined by an X-ray diffraction (XRD) and scanning electron microscopy (SEM) for crystallographic, surface morphological and compositional studies. A single phase with perovskite structure was identified in the samples at room temperature. No significant impurities were detected in an EDS spectrum and the samples are in good stoichiometric ratio. The temperature dependence of electric conductivity was evaluated in the temperature range from 300 to 550 K for a selected frequency by a HP4284 LCR meter. The activation energy was calculated from the Arrhenius plots.

Arrhenius equationMaterials scienceScanning electron microscopeDopingAnalytical chemistryActivation energyAtmospheric temperature rangeCondensed Matter PhysicsElectronic Optical and Magnetic Materialssymbols.namesakeImpurityElectrical resistivity and conductivityLCR metersymbolsFerroelectrics
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Dipolar and orientational glass formation in two-dimensional films of CO mixtures

2002

Heat-capacity and dielectric measurements have been performed to study orientational and dipolar order and disorder phenomena in submonolayer films of CO and binary mixtures of CO physisorbed on graphite and boron nitride (BN). With both methods transitions to quadrupolar and dipolar ordered low-temperature phases have been found for pure CO. Calorimetric measurements revealed that the dipolar transition of CO on graphite belongs to the universality class of the two-dimensional (2D) Ising model. It will be shown that in dilute mixtures of CO with CH 4 molecules a dramatic suppression of this phase transition occurs. This effect turned out to be much stronger than that previously observed in…

Arrhenius equationPhase transitionCondensed matter physicsChemistryDielectricCondensed Matter PhysicsElectronic Optical and Magnetic Materialssymbols.namesakechemistry.chemical_compoundBoron nitrideImpurityChemical physicsMaterials ChemistryCeramics and CompositessymbolsIsing modelGraphiteOrientational glassJournal of Non-Crystalline Solids
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Quasi-elastic Neutron Scattering Investigation of the Hydrogen Surface Self-Diffusion on Polymer Electrolyte Membrane Fuel Cell Catalyst Support

2008

International audience; Quasi-elastic neutron scattering (QENS) measurements have been performed to investigate the surface selfdiffusion of hydrogen molecules. A monolayer of molecular hydrogen was adsorbed on a carbon material commonly used in polymer electrolyte membrane fuel cells, called XC-72. QENS spectra were recorded at the time-of-flight spectrometer IN5 at Institut Laue-Langevin (ILL) in Grenoble at 40, 50, 60, and 70 K. By using the Chudley & Elliott model for jump diffusion, we found the diffusion coefficient at each temperature. The logarithm of the diffusion coefficient was plotted versus the inverse of the temperature to give the coefficient in the Arrhenius equation. From t…

Arrhenius equationSelf-diffusionHydrogenChemistryDiffusionJump diffusionAnalytical chemistrychemistry.chemical_elementElectrolyteNeutron scattering7. Clean energySurfaces Coatings and FilmsElectronic Optical and Magnetic Materials[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistrysymbols.namesake[CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistryGeneral EnergyMonolayer[ CHIM.THEO ] Chemical Sciences/Theoretical and/or physical chemistrysymbolsPhysical and Theoretical Chemistry
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Temperature dependance of the generation and decay of E’ centers induced in silica by 4.7eV laser radiation

2009

We report a study of the generation of silicon dangling bonds (E' centers) induced in fused silica by 4.7 eV laser irradiation in the 10 200 K the induced defects undergo a post-irradiation decay due to their reaction with mobile H(2). The interplay between generation and annealing gives rise to a bell-shaped temperature dependence of the concentration of induced E' centers, peaking at 250 K

Arrhenius equationSiliconChemistryAnnealing (metallurgy)Dangling bondchemistry.chemical_elementsilica point defectsActivation energyRadiationCondensed Matter PhysicsLaserMolecular physicsElectronic Optical and Magnetic Materialslaw.inventionsymbols.namesakeNuclear magnetic resonancelawMaterials ChemistryCeramics and CompositessymbolsIrradiationSilica laser effects annealing
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A neural network-based approach to determine FDTD eigenfunctions in quantum devices

2009

This article combines a Neural Network (NN) algorithm with the Finite Difference Time Domain (FDTD) technique to estimate the eigenfunctions in quantum devices. A NN based on the Least Mean Squares (LMS) algorithm is combined with the FDTD technique to provide a first approach to the confined states in quantum wires. The proposed technique is in good agreement with analytical results and is more efficient than FDTD combined with the Fourier Transform. This technique is used to cal- culate a numerical approximation to the eigenfunctions associated to quan- tum wire potentials. The performance and convergence of the proposed technique are also presented in this article. © 2009 Wiley Periodica…

Artificial neural networkComputer scienceFinite-difference time-domain methodEigenfunctionCondensed Matter PhysicsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsLeast mean squares filtersymbols.namesakeFourier transformConvergence (routing)symbolsElectronic engineeringApplied mathematicsElectrical and Electronic EngineeringQuantumMicrowaveMicrowave and Optical Technology Letters
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Identification of the Parameters of Reduced Vector Preisach Model by Neural Networks

2008

This paper presents a methodology for identifying reduced vector Preisach model parameters by using neural networks. The neural network used is a multiplayer perceptron trained with the Levenberg-Marquadt training algorithm. The network is trained by some hysteresis data, which are generated by using reduced vector Preisach model with preassigned parameters. It is shown how a properly trained network is able to find the parameters needed to best fit a magnetization hysteresis curve.

Artificial neural networkEstimation theoryComputer sciencebusiness.industryDifferential equationComputer Science::Neural and Evolutionary ComputationPattern recognitionMagnetic hysteresisPerceptronMagnetic susceptibilityElectronic Optical and Magnetic MaterialsIdentification (information)MagnetizationHysteresisMultilayer perceptronArtificial intelligenceElectrical and Electronic EngineeringbusinessSaturation (magnetic)
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Surface tension and density of binary mixtures of monoalcohols, water and acetonitrile: equation of correlation of the surface tension

2009

Measurements of the surface tension (σ) and density (ρ) of binary mixtures of monoalcohols, water and acetonitrile at 298.15 K and at atmospheric pressure, as a function of mole fraction (x) have been made. The experimental values of the deviation of surface tension and the excess of molar volume (Δσ, V E) have been correlated by the Redlich–Kister equation. An empirical correlation equation is presented for the study of the surface tension of these mixtures, and comparisons are made of the experimental values of surface tension versus those obtained with the correlation equation and with other models of correlation. Finally, with the purpose of corroborating the validity of the correlation…

Atmospheric pressureChemistryBinary numberThermodynamicsFunction (mathematics)Condensed Matter PhysicsMole fractionElectronic Optical and Magnetic MaterialsSurface tensionsymbols.namesakechemistry.chemical_compoundGibbs isothermMolar volumeMaterials ChemistrysymbolsPhysical and Theoretical ChemistryAcetonitrilePhysics and Chemistry of Liquids
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Viscosity and density of binary mixtures of alcohols and polyols with three carbon atoms and water: equation for the correlation of viscosities of bi…

2009

Measurements have been made of the viscosity and density of binary mixtures of alcohols and polyols with three carbon atoms and water at 298.15 K and at atmospheric pressure, as a function of the mole fraction. Fits have been made of the experimental values corresponding to the excesses of molar volume (V E), the deviations of viscosity (Δη), and the excesses of Gibbs free energy of activation (G* E), by means of the Redlich–Kister equation. A new correlation equation is presented for studying the viscosity of such mixtures, and comparisons are made of the experimental values of viscosity versus the values obtained by means of the mentioned equation and the models of Heric and McAllister. L…

Atmospheric pressureRelative viscositychemistry.chemical_elementBinary numberThermodynamicsCondensed Matter PhysicsMole fractionElectronic Optical and Magnetic MaterialsGibbs free energysymbols.namesakeViscosityMolar volumechemistryMaterials ChemistrysymbolsPhysical and Theoretical ChemistryCarbonPhysics and Chemistry of Liquids
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