Search results for "Linear system"

showing 10 items of 1558 documents

Effects of Weak Links in the Nonlinear Microwave Response of MgB2 Superconductor

2006

We report experimental results of second-harmonic (SH) response at microwave frequency in several ceramic MgB2 samples, prepared by different methods. The SH signal has been investigated as a function of the temperature and DC magnetic field. The investigation has been carried out at low magnetic fields, where nonlinear processes arising from motion of Abrikosov fluxons are ineffective. We show that the low-temperature SH emission is ascribable to processes involving weak links. Comparison among the peculiarities of the SH signal radiated by the different samples shows that the presence of weak links strongly depends on the sample preparation method, as well as the purity and morphology of …

Superconductivitymicrowave responseCondensed Matter - Materials ScienceMaterials scienceCondensed matter physicsCondensed Matter - SuperconductivitySettore FIS/01 - Fisica SperimentaleMicrowave responseMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesMicrowave frequencyCondensed Matter Physicsweak links.SignalElectronic Optical and Magnetic MaterialsMagnetic fieldharmonic generationSuperconductivity (cond-mat.supr-con)Nonlinear systemmagnesium diboridevisual_artCondensed Matter::Superconductivityvisual_art.visual_art_mediumSample preparationCeramic
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Surface Effects on Block Copolymer Melts Above the Order-Disorder Transition: Linear Theory of Equilibrium Properties and the Kinetics of Surface-Ind…

1997

A phenomenological theory is developed for static and dynamic aspects ofsurface- induced ordering of symmetrical block copolymers taking fluctuation corrections into account, but, considering conditions where the bulk block copolymer melt is still disordered, and a lin- earized version of the resulting Ginzburg-Landau type equation suffices. Both the semi-infinite geometry and symmetrical films of thickness 2L are treated, applying the same boundary con- ditions as used previously for a treatment of wetting in polymer blends, assuming short range surface forces and a long Wavelength approximation. For the static order parameter profile in thin film geometry, We derive an oscillatory converg…

Surface (mathematics)AmplitudeMaterials sciencePhysics and Astronomy (miscellaneous)Phase (matter)Linear systemSurface forceGeneral EngineeringBoundary (topology)ThermodynamicsLamellar structureWettingAtomic and Molecular Physics and OpticsJournal de Physique II
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Digit replacement: A generic map for nonlinear dynamical systems

2016

A simple discontinuous map is proposed as a generic model for nonlinear dynamical systems. The orbit of the map admits exact solutions for wide regions in parameter space and the method employed (digit manipulation) allows the mathematical design of useful signals, such as regular or aperiodic oscillations with specific waveforms, the construction of complex attractors with nontrivial properties as well as the coexistence of different basins of attraction in phase space with different qualitative properties. A detailed analysis of the dynamical behavior of the map suggests how the latter can be used in the modeling of complex nonlinear dynamics including, e.g., aperiodic nonchaotic attracto…

Surface (mathematics)Computer scienceApplied MathematicsGeneral Physics and AstronomyFOS: Physical sciencesStatistical and Nonlinear PhysicsParameter spaceNonlinear Sciences - Chaotic Dynamics01 natural sciences010305 fluids & plasmasNonlinear systemSimple (abstract algebra)Aperiodic graphPhase space0103 physical sciencesAttractorOrbit (dynamics)Statistical physicsChaotic Dynamics (nlin.CD)010306 general physicsMathematical Physics
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A proposed equation of correlation for the study of thermodynamic properties (density, viscosity, surface tension and refractive index) of liquid bin…

2009

Abstract The literature on the physicochemical properties of liquid binary mixtures shows that most such systems exhibit nonlinear behavior. As a result, rigorous data and equations capable of affording a reliable estimate of the behavior of such mixtures are needed. The present study offers an equation of correlation providing a reliable estimation of the properties (density, viscosity, surface tension and refractive index) of binary mixtures of liquids as a function of mole fraction. In order to assess the validity of the proposed equation, the latter has been applied to reference binary mixtures, and comparisons have been made of the experimental values of the studied magnitudes versus t…

Surface tensionViscosityNonlinear systemPolynomialChemistryGeneral Chemical EngineeringGeneral Physics and AstronomyBinary numberThermodynamicsFunction (mathematics)Physical and Theoretical ChemistryMole fractionRefractive indexFluid Phase Equilibria
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Parallel Computing for the study of the focusing Davey-Stewartson II equation in semiclassical limit

2012

The asymptotic description of the semiclassical limit of nonlinear Schrödinger equations is a major challenge with so far only scattered results in 1 + 1 dimensions. In this limit, solutions to the NLS equations can have zones of rapid modulated oscillations or blow up. We numerically study in this work the Davey-Stewartson system, a 2 + 1 dimensional nonlinear Schrödinger equation with a nonlocal term, by using parallel computing. This leads to the first results on the semiclassical limit for the Davey-Stewartson equations.

T57-57.97Work (thermodynamics)Applied mathematics. Quantitative methods010102 general mathematicsOne-dimensional spaceMathematics::Analysis of PDEsSemiclassical physics010103 numerical & computational mathematicsParallel computing01 natural sciencesSchrödinger equationsymbols.namesakeNonlinear systemNonlinear Sciences::Exactly Solvable and Integrable SystemsQA1-939symbolsLimit (mathematics)0101 mathematicsNonlinear Sciences::Pattern Formation and SolitonsNonlinear Schrödinger equationMathematicsMathematicsESAIM: Proceedings
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High-precision mass measurement of $^{168}$Yb for verification of nonlinear isotope shift

2020

The absolute mass value of $^{168}$Yb has been directly determined with the JYFLTRAP Penning trap mass spectrometer at the Ion Guide Isotope Separator On-Line (IGISOL) facility. A more precise value of the mass of $^{168}$Yb is needed to extract possible signatures of beyond standard model physics from high-precision isotope shift measurements of Yb atomic transition frequencies. The measured mass-excess value, ME($^{168}$Yb) = $-$61579.846(94) keV, is 12 times more precise and deviates from the Atomic Mass Evaluation 2016 value by 1.7$\sigma$. The impact on precision isotope shift studies of the stable Yb isotopes is discussed.

TechnologyPenning trapFOS: Physical sciencesPhysics Atomic Molecular & Chemical[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]010402 general chemistryMass spectrometry01 natural sciencesIonHigh-precision mass spectrometryPhysics::Atomic PhysicsPhysical and Theoretical ChemistryNuclear Experiment (nucl-ex)Nuclear ExperimentInstrumentationNuclear ExperimentSpectroscopyScience & TechnologyIsotopeChemistryPhysics010401 analytical chemistryCondensed Matter PhysicsPenning trapMass measurementAtomic mass0104 chemical sciencesNonlinear systemIsotope shiftPhysical SciencesAtomic physics
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Learning non-linear time-scales with kernel -filters

2009

A family of kernel methods, based on the @c-filter structure, is presented for non-linear system identification and time series prediction. The kernel trick allows us to develop the natural non-linear extension of the (linear) support vector machine (SVM) @c-filter [G. Camps-Valls, M. Martinez-Ramon, J.L. Rojo-Alvarez, E. Soria-Olivas, Robust @c-filter using support vector machines, Neurocomput. J. 62(12) (2004) 493-499.], but this approach yields a rigid system model without non-linear cross relation between time-scales. Several functional analysis properties allow us to develop a full, principled family of kernel @c-filters. The improved performance in several application examples suggest…

TelecomunicacionesSupport vector machinesbusiness.industryCognitive NeuroscienceNonlinear System IdentificationPattern recognitionKernel principal component analysisComputer Science ApplicationsKernel methodMercer's KernelArtificial IntelligenceVariable kernel density estimationString kernelKernel embedding of distributionsPolynomial kernelRadial basis function kernelGamma-FiltersArtificial intelligenceTree kernelbusinessMathematicsNeurocomputing
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Dynamical amplification of electric polarization through nonlinear phononics in 2D SnTe

2020

Ultrafast optical control of ferroelectricity using intense terahertz fields has attracted significant interest. Here we show that the nonlinear interactions between two optical phonons in SnTe, a two-dimensional in-plane ferroelectric material, enables a dynamical amplification of the electric polarization within subpicoseconds time domain. Our first-principles time-dependent simulations show that the infrared-active out-of-plane phonon mode, pumped to nonlinear regimes, spontaneously generates in-plane motions, leading to rectified oscillations in the in-plane electric polarization. We suggest that this dynamical control of ferroelectric material, by nonlinear phonon excitation, can be ut…

Terahertz radiationPhononPhysics::Optics02 engineering and technology01 natural sciences7. Clean energySettore FIS/03 - Fisica Della MateriaCondensed Matter::Materials ScienceTDDFT0103 physical sciencesGeneral Materials ScienceTime domain010306 general physicsPhysicsFerroelecrtricityCondensed matter physics021001 nanoscience & nanotechnologyFerroelectricityComputer Science ApplicationsPolarization densityNonlinear systemMechanics of MaterialsModeling and Simulation0210 nano-technologyUltrashort pulseExcitation
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Canonical Retina-to-Cortex Vision Model Ready for Automatic Differentiation

2020

Canonical vision models of the retina-to-V1 cortex pathway consist of cascades of several Linear+Nonlinear layers. In this setting, parameter tuning is the key to obtain a sensible behavior when putting all these multiple layers to work together. Conventional tuning of these neural models very much depends on the explicit computation of the derivatives of the response with regard to the parameters. And, in general, this is not an easy task. Automatic differentiation is a tool developed by the deep learning community to solve similar problems without the need of explicit computation of the analytic derivatives. Therefore, implementations of canonical visual neuroscience models that are ready…

Theoretical computer scienceComputer scienceAutomatic differentiationbusiness.industryComputationDeep learningPython (programming language)Task (project management)Nonlinear systemDistortionKey (cryptography)Artificial intelligencebusinesscomputercomputer.programming_language
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A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals

2009

A method to perform time-varying (TV) nonlinear prediction of biomedical signals in the presence of nonstationarity is presented in this paper. The method is based on identification of TV autoregressive models through expansion of the TV coefficients onto a set of basis functions and on k -nearest neighbor local linear approximation to perform nonlinear prediction. The approach provides reasonable nonlinear prediction even for TV deterministic chaotic signals, which has been a daunting task to date. Moreover, the method is used in conjunction with a TV surrogate method to provide statistical validation that the presence of nonlinearity is not due to nonstationarity itself. The approach is t…

Time FactorsComputer scienceSpeech recognitionChaoticBiomedical EngineeringBasis functionModels BiologicalSurrogate dataYoung AdultHeart RatePredictive Value of TestsNonstationary signalHumansComputer SimulationEEGPredictabilitySignal processingNonlinear dynamicElectroencephalographySignal Processing Computer-AssistedComplexityLocal nonlinear predictionNonlinear systemNonlinear DynamicsAutoregressive modelData Interpretation StatisticalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear approximationSurrogate dataAlgorithmHeart rate variability (HRV)Algorithms
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