Search results for "fluids"

showing 10 items of 1936 documents

Superfluid density and quasi-long-range order in the one-dimensional disordered Bose–Hubbard model

2015

We study the equilibrium properties of the one-dimensional disordered Bose-Hubbard model by means of a gauge-adaptive tree tensor network variational method suitable for systems with periodic boundary conditions. We compute the superfluid stiffness and superfluid correlations close to the superfluid to glass transition line, obtaining accurate locations of the critical points. By studying the statistics of the exponent of the power-law decay of the correlation, we determine the boundary between the superfluid region and the Bose glass phase in the regime of strong disorder and in the weakly interacting region, not explored numerically before. In the former case our simulations are in agreem…

Monte Carlo methodGeneral Physics and AstronomyBoundary (topology)FOS: Physical sciencesBose–Hubbard model01 natural sciencesCondensed Matter::Disordered Systems and Neural Networks010305 fluids & plasmasSuperfluidityPhysics and Astronomy (all)Bose glass; disorder-driven phase transition; numerical simulation of quantum many-body systems; Physics and Astronomy (all)0103 physical sciencesnumerical simulation of quantum many-body systemsPeriodic boundary conditionsTensor010306 general physicsPhysicsCondensed Matter::Quantum GasesQuantum PhysicsCondensed matter physicsdisorder-driven phase transitionCondensed Matter::OtherBose glassDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks16. Peace & justiceVariational methodExponentQuantum Physics (quant-ph)
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A multi-physics integrated approach to breeding blanket modelling and design

2019

Abstract Often, for the design of a component, several kinds of analyses are needed. Even more frequently, the different fields of study, to be taken into account for the design verification, have to be examined minutely until the final results are satisfying. Furthermore, when geometry modifications are required, for instance to fulfill the component functions, the analyses cycle has to be restarted and an iterative process has to be carried out. This procedure may be time-consuming and herald of errors, in particular if it is demanded to the human activity. Therefore, it is more convenient for the scientific community to adopt a numerical tool that can combine various computational codes.…

Multi-physicCommercial softwareNeutron transportIterative and incremental developmentHCPBMechanical EngineeringBase (geometry)Blanket7. Clean energy01 natural sciencesWCLL010305 fluids & plasmasCouplingLead (geology)Nuclear Energy and EngineeringCoupling (computer programming)Component (UML)0103 physical sciencesSystems engineeringGeneral Materials ScienceBreeding blanket010306 general physicsSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringFusion Engineering and Design
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Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models

2017

The most common approach to assess the dynamical complexity of a time series across multiple temporal scales makes use of the multiscale entropy (MSE) and refined MSE (RMSE) measures. In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. To overcome these limitations, we propose a method to assess RMSE for autoregressive (AR) stochastic processes. The method makes use of linear state-space (SS) models to provide the multiscale parametric representation of an AR process observed at different time scales and exploits the SS parameters to quantify analytically the co…

MultidisciplinaryArticle SubjectGeneral Computer ScienceMean squared errorSeries (mathematics)Computer scienceStochastic processEntropymultiscale analysis01 natural sciencesMeasure (mathematics)lcsh:QA75.5-76.95010305 fluids & plasmasEntropy; multiscale analysisAutoregressive model0103 physical sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaState spacelcsh:Electronic computers. Computer science010306 general physicsRepresentation (mathematics)AlgorithmParametric statistics
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Analysis of Multipactor Effect in a Partially Dielectric-Loaded Rectangular Waveguide

2019

This paper 1 presents a study of the multipactor 2 effect in a partially dielectric-loaded rectangular waveguide. 3 To obtain the simulations presented in this paper, a detailed 4 analysis of the dynamics of the electron inside this waveguide 5 has been performed, taking into account the radio frequency 6 electromagnetic fields propagating in the waveguide and the dc 7 electric field that appears because of the charging of the dielectric 8 layer. This electrostatic field is obtained by computing the electric 9 potential produced by an arbitrary charge distribution on the 10 dielectric layer in a dielectric-loaded waveguide. The electron 11 trajectory is then found by numerically solving the…

Multipactor effectElectromagnetic fieldNuclear and High Energy PhysicsMaterials science621.3 - Ingeniería eléctrica. Electrotecnia. TelecomunicacionesPhysics::OpticsDielectricwaveguideCondensed Matter PhysicsElectrostatics01 natural sciencesWaveguide (optics)010305 fluids & plasmasComputational physicssecondary emissionSurface waveElectric field0103 physical sciencesElectric potentialMultipactor
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Multipactor RF Breakdown in Coaxial Transmission Lines With Digitally Modulated Signals

2016

The aim of this paper is the study of the RF multipactor breakdown in coaxial transmission lines excited by a single carrier with a digitally modulated signal. Employing an in-house developed code, numerical simulations are performed to determine the RF multipactor voltage threshold for several digitally modulated signals under different modulations schemes: quadrature phase-shift keying, 16-quadrature amplitude modulation, 16-amplitude and phase-shift keying, and 32-amplitude and phase-shift keying. Moreover, a coarse method based on the envelope integration to determine the RF multipactor voltage threshold when involving arbitrary digital modulations is also presented. These results are a…

Multipactor effectEngineeringAcoustics02 engineering and technology01 natural sciences010305 fluids & plasmasHarmonic analysisAmplitude modulationDigital modulationTEORIA DE LA SEÑAL Y COMUNICACIONES0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectronic engineeringElectrical and Electronic EngineeringQuadrature amplitude modulation (QAM)Coaxial waveguidesbusiness.industry20-gap-crossing ruleRoot-raised-cosine filterRF breakdown020206 networking & telecommunicationsKeyingElectronic Optical and Magnetic MaterialsElectric power transmissionAmplitude and phaseshift keying (APSK)Multipactor effectRadio frequencybusinessQuadrature phase-shift keying (QPSK)Phase-shift keyingVoltageIEEE Transactions on Electron Devices
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Multiple point spaces of finite holomorphic maps

2015

We show that there exists a unique possible definition, with certain natural properties, of the multiple point space of a holomorphic map between complex manifolds. Our construction coincides with the double point space and the k-th multiple point space for corank one map-germs, due to Mond. We also give some interesting properties of the double point space and prove that in many cases it can be computed as the zero locus of certain quotient of ideals.

Multiple pointMathematics - Algebraic GeometryGeneral Mathematics58K20 58K25 58K60 (Primary) 32C15 32G05 (Secondary)010102 general mathematics0103 physical sciencesFOS: Mathematics0101 mathematicsAlgebraic Geometry (math.AG)01 natural sciencesHumanities010305 fluids & plasmasMathematicsThe Quarterly Journal of Mathematics
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Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*

2020

The framework of information dynamics allows to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of a complex network. The information transfer from one process to another can be quantified through Transfer Entropy, and under the assumption of joint Gaussian variables it is strictly related to the concept of Granger Causality (GC). According to the most recent developments in the field, the computation of GC entails representing the processes through a Vector Autoregressive (VAR) model and a state space (SS) model typically identified by means of the Ordinary Least Squares (OLS). In this work, we propose a new identification …

Multivariate statisticsComputer scienceEntropyGaussian0206 medical engineeringNormal Distribution02 engineering and technology01 natural sciencesLASSO regression010305 fluids & plasmassymbols.namesakeinformation TransferState Space modelsGranger causalityLasso (statistics)0103 physical sciencesStatistics::MethodologyState spaceLeast-Squares AnalysisShrinkageSparse matrixElectroencephalography020601 biomedical engineeringinformation Transfer; LASSO regression; State Space models; Granger causalityAutoregressive modelstate space modelParametric modelOrdinary least squaresLinear ModelssymbolsGranger causalityTransfer entropyAlgorithmInformation dyancamic analysi
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Multivariate and Multiscale Complexity of Long-Range Correlated Cardiovascular and Respiratory Variability Series

2020

Assessing the dynamical complexity of biological time series represents an important topic with potential applications ranging from the characterization of physiological states and pathological conditions to the calculation of diagnostic parameters. In particular, cardiovascular time series exhibit a variability produced by different physiological control mechanisms coupled with each other, which take into account several variables and operate across multiple time scales that result in the coexistence of short term dynamics and long-range correlations. The most widely employed technique to evaluate the dynamical complexity of a time series at different time scales, the so-called multiscale …

Multivariate statisticsSystolic arterial pressure (SAP)Vector autoregressive fractionally integrated (VARFI) modelsComputer scienceGeneral Physics and Astronomylcsh:Astrophysics01 natural sciencesArticle010305 fluids & plasmaslcsh:QB460-4660103 physical sciencesRange (statistics)Multi-scale entropy (MSE)lcsh:Science010306 general physicsRepresentation (mathematics)Parametric statisticsvector autoregressive fractionally integrated (VARFI) modelSeries (mathematics)multi-scale entropy (MSE)Stochastic processsystolic arterial pressure (SAP)lcsh:QC1-999Term (time)Autoregressive modelSettore ING-INF/06 - Bioingegneria Elettronica E Informaticavector autoregressive fractionally integrated (VARFI) modelslcsh:QBiological systemHeart rate variability (HRV)lcsh:Physicsheart rate variability (HRV)
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Heat transfer by using TiO2 nanofluids

2021

Abstract In the last decades, nanofluids have been proposed as thermo-vector fluids thanks to their interesting properties of thermal conduction and stability, which allow interesting performance in heat transfer applications. Consequently, different studies on the thermal properties, the potential benefits, and the possible applications of nanofluids appeared in the scientific literature. This chapter deals with heat transfer characteristics of TiO2 nanofluids, which nowadays appear to be almost ready for practical applications. Particular attention has been given to the preparation, the characterization, and the effects of different parameters on heat transfer. Moreover, challenges and op…

NanofluidMaterials scienceFuture studiesHeat transferThermalNanofluids Titanium dioxide Heat transfer properties.Thermal conductionEngineering physicsCharacterization (materials science)
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The evolution of COVID-19: A discontinuous approach.

2021

The evolution of the COVID-19 disease is monitored on the basis of the daily number of infected patients and the daily number of deaths provided from national health agencies. The variation of such parameters with time parallels that described for the growth/decay of historic transportation systems revealing the appearance of discontinuities. The evolution of the pandemic disease is represented in terms of two nominally equivalent formulations: a logistic model with sharp changes in its rate parameters, and in topological terms resulting in 2nd order phase transitions in the infected patients/time space.

National healthStatistics and Probability2019-20 coronavirus outbreakBasis (linear algebra)Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)COVID-19Classification of discontinuitiesCondensed Matter Physics01 natural sciencesTopological phase transitionsArticle010305 fluids & plasmasTime spaceDiscontinuities0103 physical sciencesLogisticStatistical physics010306 general physicsMathematicsPhysica A
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