Search results for "Nonlinear dynamic"

showing 10 items of 158 documents

Elastic Properties and Line Tension of Self-Assembled Bilayer Membranes

2013

The elastic properties of a self-assembled bilayer membrane are studied using the self-consistent field theory, applied to a model system composed of flexible amphiphilic chains dissolved in hydrophilic polymeric solvents. Examining the free energy of bilayer membranes with different geometries allows us to calculate their bending modulus, Gaussian modulus, two fourth-order membrane moduli, and the line tension. The dependence of these parameters on the microscopic characteristics of the amphiphilic chain, characterized by the volume fraction of the hydrophilic component, is systematically studied. The theoretical predictions are compared with the results from a simple monolayer model, whic…

Materials scienceLipid BilayersNormal DistributionFOS: Physical sciencesNanotechnology02 engineering and technologyCondensed Matter - Soft Condensed MatterMolecular Dynamics Simulation01 natural sciencesQuantitative Biology::Subcellular Processes0103 physical sciencesMonolayerAmphiphileSoft matterPhysics - Biological Physics010306 general physicsElastic modulusPhysics::Biological PhysicsBilayerLinear elasticityCell MembraneLipid bilayer mechanics021001 nanoscience & nanotechnologyElasticityCondensed Matter::Soft Condensed MatterMembraneNonlinear DynamicsChemical physicsBiological Physics (physics.bio-ph)ThermodynamicsSoft Condensed Matter (cond-mat.soft)0210 nano-technology
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Low loss microstructured chalcogenide fibers for large non linear effects at 1995 nm

2010

International audience; Microstructured optical fibers (MOFs) are traditionally prepared using the stack and draw technique. In order to avoid the interfaces problems observed in chalcogenide glasses, we have developed a new casting method to prepare the chalcogenide preform. This method allows to reach optical losses around 0.4 dB/m at 1.55 µm and less than 0.05 dB/m in the mid IR. Various As(38)Se(62) chalcogenide microstructured fibers have been prepared in order to combine large non linear index of these glasses with the mode control offered by MOF structures. Small core fibers have been drawn to enhance the non linearities. In one of these, three Stokes order have been generated by Ram…

Materials scienceOptical fiberChalcogenide02 engineering and technology01 natural sciencesOCIS Codes : 060.2270 ; 060.2390 ; 060.4370 ; 160.2750 ; 060.4005law.invention010309 opticschemistry.chemical_compoundsymbols.namesakeOpticsStack (abstract data type)law0103 physical sciencesFiber Optic Technology[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]business.industryEquipment Design[CHIM.MATE]Chemical Sciences/Material chemistryMicrostructured optical fiber021001 nanoscience & nanotechnologyCastingAtomic and Molecular Physics and OpticsEquipment Failure AnalysisCore (optical fiber)Nonlinear Dynamicschemistry[ CHIM.MATE ] Chemical Sciences/Material chemistry[SPI.OPTI]Engineering Sciences [physics]/Optics / PhotonicsymbolsChalcogens[ SPI.OPTI ] Engineering Sciences [physics]/Optics / PhotonicGlass0210 nano-technologybusinessRaman scatteringPhotonic-crystal fiberOptics Express
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Mid-infrared 2000-nm bandwidth supercontinuum generation in suspended-core microstructured Sulfide and Tellurite optical fibers

2012

International audience; In this work, we report the experimental observation of supercontinua generation in two kinds of suspended-core microstructured soft-glass optical fibers. Low loss, highly nonlinear, tellurite and As2S3 chalcogenide fibers have been fabricated and pumped close to their zero-dispersion wavelength in the femtosecond regime by means of an optical parametric oscillator pumped by a Ti:Sapphire laser. When coupled into the fibers, the femtosecond pulses result in 2000-nm bandwidth supercontinua reaching the Mid-Infrared region and extending from 750 nm to 2.8 mu m in tellurite fibers and 1 mu m to 3.2 mu m in chalcogenide fibers, respectively.

Materials scienceOptical fiberLightChalcogenidePUMPMU-MFABRICATIONPhysics::Optics02 engineering and technologySulfidesPHOTONIC CRYSTAL FIBERS01 natural sciencesNMlaw.invention010309 opticschemistry.chemical_compoundOpticsDISPERSIONlaw0103 physical sciencesOptical Fibersbusiness.industryLasersOHAS2S3 GLASSEquipment Design021001 nanoscience & nanotechnologyLaserAtomic and Molecular Physics and OpticsSupercontinuumCONTINUUM GENERATIONCHALCOGENIDEchemistryNonlinear DynamicsFemtosecondOptical parametric oscillatorSapphireTellurium0210 nano-technologybusinessPhotonic-crystal fiber
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Experimental investigation of Brillouin and Raman scattering in a 2SG sulfide glass microstructured chalcogenide fiber.

2008

International audience; In this work, we investigate the Brillouin and Raman scattering properties of a Ge15Sb20S65 chalcogenide glass microstructured single mode fiber around 1.55 microm. Through a fair comparison between a 2-m long chalcogenide fiber and a 7.9-km long classical single mode silica fiber, we have found a Brillouin and Raman gain coefficients 100 and 180 larger than fused silica, respectively.

Materials scienceSilica fiberLightChalcogenideChalcogenide glass02 engineering and technologySulfidesSpectrum Analysis Raman01 natural sciences010309 opticschemistry.chemical_compound020210 optoelectronics & photonicsOpticsDouble-clad fiberBrillouin scattering0103 physical sciences0202 electrical engineering electronic engineering information engineeringFiber Optic TechnologyScattering RadiationComputer Simulationbusiness.industryMicrostructured optical fiberEquipment Design[CHIM.MATE]Chemical Sciences/Material chemistryModels TheoreticalAtomic and Molecular Physics and OpticsEquipment Failure AnalysischemistryNonlinear Dynamics[ CHIM.MATE ] Chemical Sciences/Material chemistryChalcogensGlassbusinessHard-clad silica optical fiberPhotonic-crystal fiber
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Nonlinear mechanics of DNA doule strand: existence of the compact-envelope bright solitary wave

2013

We study the nonlinear dynamics of a homogeneous DNA chain which is based on site-dependent finite stacking and pairing enthalpies. We introduce an extended nonlinear Schrödinger equation describing the dynamics of modulated wave in DNA model. We obtain envelope bright solitary waves with compact support as a solution. Analytical criteria of existence of this solution are derived. The stability of bright compactons is confirmed by numerical simulations of the exact equations of the lattice. The impact of the finite stacking energy is investigated and we show that some of these compact bright solitary waves are robust, while others decompose very quickly depending on the finite stacking para…

Models MolecularPhysicsStackingExact differential equationMolecular models of DNADNASchrödinger equationsymbols.namesakeNonlinear systemClassical mechanicsNonlinear DynamicsLattice (order)PairingsymbolsNucleic Acid ConformationNonlinear Schrödinger equation2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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Inferring causal relations from observational long-term carbon and water fluxes records

2022

AbstractLand, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and water cycles: gross primary productivity, latent heat energy flux for evaporation, surface air temperature, precipitation, soil moisture and radiation. We introduce a methodology based on the convergent cross-mapping (CCM) technique. Despite its good performance in general, CCM is sensitive to (even moderate) noise levels and hyper-parameter selection. We present a robust CCM (RCCM) that relies on temporal bootstrapping decision scores and the deri…

MultidisciplinaryScienceStatisticsQRMedicineCarbon cycleHydrologyStatistical physics thermodynamics and nonlinear dynamicsArticleScientific Reports
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Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis

2011

This tutorial paper introduces a common framework for the evaluation of widely used frequency-domain measures of coupling (coherence, partial coherence) and causality (directed coherence, partial directed coherence) from the parametric representation of linear multivariate (MV) processes. After providing a comprehensive time-domain definition of the various forms of connectivity observed in MV processes, we particularize them to MV autoregressive (MVAR) processes and derive the corresponding frequency-domain measures. Then, we discuss the theoretical interpretation of these MVAR-based connectivity measures, showing that each of them reflects a specific time-domain connectivity definition an…

Multivariate statisticsInformation transferTime FactorsArticle SubjectImmunology and Microbiology (all)Computer scienceBiostatisticslcsh:Computer applications to medicine. Medical informaticsGeneral Biochemistry Genetics and Molecular BiologyCausality (physics)HumansRepresentation (mathematics)Parametric statisticsBiochemistry Genetics and Molecular Biology (all)General Immunology and MicrobiologyMedicine (all)Applied MathematicsMedicine (all); Modeling and Simulation; Immunology and Microbiology (all); Biochemistry Genetics and Molecular Biology (all); Applied MathematicsElectroencephalographySignal Processing Computer-AssistedGeneral MedicineCoherence (statistics)Nonlinear DynamicsAutoregressive modelModeling and SimulationFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear Modelslcsh:R858-859.7AlgorithmResearch ArticleComputational and Mathematical Methods in Medicine
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Stochastic Nonlinear Time Series Forecasting Using Time-Delay Reservoir Computers: Performance and Universality

2014

International audience; Reservoir computing is a recently introduced machine learning paradigm that has already shown excellent performances in the processing of empirical data. We study a particular kind of reservoir computers called time-delay reservoirs that are constructed out of the sampling of the solution of a time-delay diFFerential equation and show their good performance in the forecasting of the conditional covariances associated to multivariate discrete-time nonlinear stochastic processes of VEC-GARCH type as well as in the prediction of factual daily market realized volatilities computed with intraday quotes, using as training input daily log-return series of moderate size. We …

Multivariate statisticsMathematical optimizationTime FactorsRealized varianceDifferential equationComputer scienceCognitive NeuroscienceMathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyComputer Communication NetworksArtificial Intelligence0502 economics and business0202 electrical engineering electronic engineering information engineeringHumansTime seriesSimulation050205 econometrics Stochastic Processes[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Series (mathematics)Artificial neural networkComputersStochastic process05 social sciencesReservoir computingSampling (statistics)Universality (dynamical systems)Nonlinear systemNonlinear DynamicsData Interpretation Statistical020201 artificial intelligence & image processingNeural Networks ComputerForecastingSSRN Electronic Journal
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Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series

2012

The complexity of the short-term cardiovascular control prompts for the introduction of multivariate (MV) nonlinear time series analysis methods to assess directional interactions reflecting the underlying regulatory mechanisms. This study introduces a new approach for the detection of nonlinear Granger causality in MV time series, based on embedding the series by a sequential, non-uniform procedure, and on estimating the information flow from one series to another by means of the corrected conditional entropy. The approach is validated on short realizations of linear stochastic and nonlinear deterministic processes, and then evaluated on heart period, systolic arterial pressure and respira…

Multivariate statisticsSupine positionMultivariate analysisQuantitative Biology::Tissues and OrgansTime delay embeddingPhysics::Medical PhysicsPostureBlood PressureHealth InformaticsCardiovascular Physiological PhenomenaGranger causalityPosition (vector)StatisticsHumansCardiovascular interactionMathematicsConditional entropySeries (mathematics)RespirationModels CardiovascularReproducibility of ResultsSignal Processing Computer-AssistedComputer Science Applications1707 Computer Vision and Pattern RecognitionComputer Science ApplicationsNonlinear systemNonlinear DynamicsMultivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate time serieConditional entropyAlgorithmAlgorithms
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Detecting nonlinear causal interactions between dynamical systems by non-uniform embedding of multiple time series.

2010

This study introduces a new approach for the detection of nonlinear Granger causality between dynamical systems. The approach is based on embedding the multivariate (MV) time series measured from the systems X and Y by means of a sequential, non-uniform procedure, and on using the corrected conditional entropy (CCE) as unpredictability measure. The causal coupling from X to Y is quantified as the relative decrease of CCE measured after allowing the series of X to enter the embedding procedure for the description of Y. The ability of the approach to quantify nonlinear causality is assessed on MV time series measured from simulated dynamical systems with unidirectional coupling (the Rössler-…

Multivariate statisticsTime FactorsDynamical systems theoryEntropyBiomedical EngineeringMachine learningcomputer.software_genreHumansStatistical physicsTime seriesMathematicsVisual CortexConditional entropyCouplingSignal processingbusiness.industryMagnetoencephalographyReproducibility of ResultsSignal Processing Computer-AssistedSomatosensory CortexNonlinear systemNonlinear DynamicsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisEmbeddingArtificial intelligencebusinesscomputer
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