Search results for "fluids"

showing 10 items of 1936 documents

Two relaxation times and thermal nonlinear waves along wires with lateral heat exchange

2021

Abstract We propose a model for studying several nonlinear waves for heat transport along a cylindrical system with lateral non-linear heat transfer to the environment. We consider relaxational equations, each with its own relaxation time, for longitudinal heat transfer and for lateral heat transfer across the wall. We consider two kinds of nonlinear lateral heat transport: radiative heat transport, and flux-limited heat transport. This work generalizes our previous studies in which the relaxation time for the lateral heat transfer was considered equal to that of the longitudinal heat flux. We explore the influence of both relaxation times on the propagation speed of linear and nonlinear wa…

Work (thermodynamics)Materials scienceThermal solitonsRelaxation (NMR)Statistical and Nonlinear PhysicsMechanicsRadiant heatCondensed Matter Physics01 natural sciencesHeat waves010305 fluids & plasmasHeat flux saturationNonlinear systemHeat flux0103 physical sciencesThermalHeat exchangerHeat transferRadiative transferMaxwell–Cattaneo law010306 general physicsAuxiliary equation methodPhysica D: Nonlinear Phenomena
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Effect of disorder on Majorana localization in topological superconductors: a quasiclassical approach

2020

Two-dimensional (2D) topological superconductors (TS) host chiral Majorana modes (MMs) localized at the boundaries. In this work, we study the effect of disorder on the localization length of MMs in two-dimensional spin-orbit (SO) coupled superconductors within quasiclassical approximation. We find nonmonotonic behavior of the Majorana localization length as a function of disorder strength. At weak disorder, the Majorana localization length decreases with an increasing disorder strength. Decreasing the disorder scattering time below a crossover value ${\ensuremath{\tau}}_{c}$, the Majorana localization length starts to increase. The crossover scattering time depends on the relative magnitud…

Work (thermodynamics)suprajohtavuusField (physics)CrossoverFOS: Physical sciencessuperconductorsTopology01 natural sciencessuprajohteet010305 fluids & plasmasSuperconductivity (cond-mat.supr-con)disordered systems0103 physical sciencesMesoscale and Nanoscale Physics (cond-mat.mes-hall)010306 general physicsSuperconductivityPhysicsCondensed Matter - Mesoscale and Nanoscale Physicsmajorana fermionsScatteringCondensed Matter - SuperconductivityFunction (mathematics)Disordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCoupling (probability)kvasihiukkasetMAJORANA
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Thermal-hydraulic behaviour of the DEMO divertor plasma facing components cooling circuit

2017

Abstract Within the framework of the Work Package DIV 1 – “Divertor Cassette Design and Integration” of the EUROfusion action, a research campaign has been jointly carried out by ENEA and University of Palermo to investigate the thermal-hydraulic performances of the DEMO divertor cassette cooling system. A comparative evaluation study has been performed considering three different options for the cooling circuit layout of the divertor Plasma Facing Components (PFCs). The potential improvement in the thermal-hydraulic performance of the cooling system, to be achieved by modifying cooling circuit layout, has been also assessed and discussed in terms of optimization strategy. The research acti…

Work packageComputer scienceHydraulicsNuclear engineeringComputational fluid dynamics7. Clean energy01 natural sciences010305 fluids & plasmaslaw.inventionThermal hydraulicsMaterials Science(all)law0103 physical sciencesWater coolingGeneral Materials Science010306 general physicsSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringFinite volume methodbusiness.industryMechanical EngineeringDivertorDEMO Divertor Plasma Facing Components CFD analysis HydraulicsPlasmaNuclear Energy and Engineeringbusiness
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The design of the DONES lithium target system

2019

Abstract In the framework of the EU fusion roadmap implementing activities, an accelerator-based Li(d,xn) neutron source called DONES (Demo-Oriented early NEutron Source) is being designed within the EUROfusion Work Package Early Neutron Source as an essential irradiation facility for testing candidate materials for DEMO reactor and future fusion power plants. DONES will employ a high speed liquid lithium jet struck by a 125 mA, 40 MeV deuteron beam to generate the intense neutron flux used to irradiate the material samples up to the desired level of displacement damage (˜10 dpa/fpy for iron in 0.3 l) and He production rates (˜10-13 appm He/dpa). In order to rapidly achieve a sound and stab…

Work packageComputer scienceNuclear engineeringLithium target systemchemistry.chemical_elementTarget system01 natural sciences7. Clean energy010305 fluids & plasmasNeutron flux0103 physical sciencesIFMIFGeneral Materials ScienceDONES; IFMIF; Lithium target system; Target system010306 general physicsSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringMechanical EngineeringFusion powerNuclear Energy and EngineeringchemistryNeutron sourceLithiumVacuum chamberDONESLiquid lithiumBeam (structure)Fusion Engineering and Design
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Parametric study of the influence of First Wall cooling water on the Water Cooled Lithium Lead Breeding Blanket nuclear response

2019

Abstract In the framework of EUROfusion Work Package International Cooperation R&D activities, a close collaboration has been started among University of Palermo, ENEA Brasimone and ENEA Frascati for the development of the Water Cooled Lithium Lead (WCLL) Breeding Blanket (BB) concept. In this context, a research campaign has been carried out at the University of Palermo in order to investigate the influence of First Wall (FW) cooling water configuration on the nuclear response of the WCLL BB under irradiation in EU-DEMO, in order to gain useful indications for the WCLL BB pre-conceptual designs. To this end, three-dimensional nuclear analyses have been performed by MCNP5 v. 1.6 Monte Carlo…

Work packageNuclear engineeringNeutronicchemistry.chemical_elementContext (language use)DEMO reactorBlanket7. Clean energy01 natural sciences010305 fluids & plasmas0103 physical sciencesWater coolingNeutronicsDEMO reactor; Neutronics; WCLL blanketGeneral Materials Science010306 general physicsSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringParametric statisticsbusiness.industryMechanical EngineeringWater cooledNuclear powerWCLL blanketNuclear Energy and EngineeringchemistryEnvironmental scienceLithiumbusiness
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HOW TO MAKE A PIE: REPRODUCIBLE RESEARCH FOR EMPIRICAL ECONOMICS AND ECONOMETRICS

2020

Les recherches empiriques en sciences humaines et sociales necessitent la manipulation de nombreux fichiers : differents jeux de donnees, de multiples programmes, qu'ils soient destines a la manipulation de donnees, aux traitements statistiques, aux estimations econometriques ou a des simulations, et de nombreux fichiers successifs de resultats. Maitriser l’ensemble des etapes du projet de recherche est indispensable si l’on souhaite pouvoir reproduire ou repliquer les resultats a long terme. Cette rigueur (fiabilite, tracabilite, reproductibilite), est desormais de plus en plus exigee par notre profession ainsi que par les editeurs de revues scientifiques. Apres avoir mis en evidence les e…

Workflow *Economics and Econometrics[QFIN]Quantitative Finance [q-fin]Soft- ware05 social sciencesLiterate ProgrammingReplication01 natural sciencesReproducibility[SHS]Humanities and Social Sciences010305 fluids & plasmas[STAT]Statistics [stat]Empirical Economics0502 economics and business0103 physical sciencesEconomics[INFO]Computer Science [cs]050207 economicsJEL: A - General Economics and TeachingB- ECONOMIE ET FINANCEHumanitiesJournal of Economic Surveys
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Wronskian representation of solutions of NLS equation, and seventh order rogue wave.

2012

This work is a continuation of a recent paper in which we have constructed a multi-parametric family of the nonlinear Schrodinger equation in terms of wronskians. When we perform a special passage to the limit, we get a family of quasi-rational solutions expressed as a ratio of two determinants. We have already construct Peregrine breathers of orders N=4, 5, 6 in preceding works; we give here the Peregrine breather of order seven.

WronskianBreather[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Fredholm determinant01 natural sciences010305 fluids & plasmassymbols.namesakeNonlinear Sciences::Exactly Solvable and Integrable Systems[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]0103 physical sciencessymbolsOrder (group theory)Limit (mathematics)[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Rogue wave010306 general physicsRepresentation (mathematics)Nonlinear Schrödinger equationNonlinear Sciences::Pattern Formation and SolitonsMathematicsMathematical physics
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Three-dimensional splitting dynamics of giant vortices in Bose-Einstein condensates

2018

We study the splitting dynamics of giant vortices in dilute Bose-Einstein condensates by numerically integrating the three-dimensional Gross-Pitaevskii equation in time. By taking advantage of tetrahedral tiling in the spatial discretization, we decrease the error and increase the reliability of the numerical method. An extensive survey of vortex splitting symmetries is presented for different aspect ratios of the harmonic trapping potential. The symmetries of the splitting patterns observed in the simulated dynamics are found to be in good agreement with predictions obtained by solving the dominant dynamical instabilities from the corresponding Bogoliubov equations. Furthermore, we observe…

YEE-LIKE SCHEMESDiscretizationGROSS-PITAEVSKII EQUATIONEFFICIENTFOS: Physical sciencesHarmonic (mathematics)GASES114 Physical sciences01 natural sciences010305 fluids & plasmaslaw.inventionsymbols.namesakelaw0103 physical sciencesSUPERFLOW010306 general physicsNUMERICAL-SOLUTIONVORTEXta113PhysicsCondensed Matter::Quantum GasesSTABILITYta114Condensed Matter::OtherNumerical analysisTime evolutionMONOPOLESBose-Einstein condensatesVortexMAXWELLS EQUATIONSGross–Pitaevskii equationClassical mechanicsMaxwell's equationsQuantum Gases (cond-mat.quant-gas)symbolsCondensed Matter - Quantum Gasesvortices in superfluidsBose–Einstein condensate
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Impact of buffer gas quenching on the $^1S_0$ $\to$ $^1P_1$ ground-state atomic transition in nobelium

2017

International audience; Using the sensitive Radiation Detected Resonance Ionization Spectroscopy (RADRIS) techniquean optical transition in neutral nobelium (No, Z = 102) was identified. A remnant signal when delaying the ionizing laser indicated the influence of a strong buffer gas induced de-excitation of the optically populated level. A subsequent investigation of the chemical homologue, ytterbium (Yb, Z = 70), enabled a detailed study of the atomic levels involved in this process, leading to the development of a rate equation model. This paves the way for characterizing resonance ionization spectroscopy (RIS) schemes used in the studyof nobelium and beyond, where atomic properties are c…

YtterbiumQuenching (fluorescence)Materials scienceBuffer gaschemistry.chemical_elementRate equation[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]01 natural sciencesAtomic and Molecular Physics and OpticsSpectral line010305 fluids & plasmaschemistry0103 physical sciencesAtomic Physicsddc:530NobeliumPhysics::Atomic PhysicsAtomic physics010306 general physicsGround stateSpectroscopy
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A nonlinear oscillators network devoted to image processing

2004

A contrast enhancement and image inverting tool using a lattice of uncoupled nonlinear oscillators is proposed. We show theoretically and numerically that the gray scale picture contrast is strongly enhanced even if this one is initially very small. An image inversion can be also obtained in real time with the same Cellular Nonlinear Network (CNN) without reconfiguration of the network. A possible electronic implementation of this CNN is finally discussed.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[ PHYS.COND.CM-DS-NN ] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]Image processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingCellular nonlinear networksTopology01 natural sciencesGrayscale010305 fluids & plasmasNonlinear oscillators[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingControl theoryLattice (order)0103 physical sciences[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]010306 general physicsEngineering (miscellaneous)ComputingMilieux_MISCELLANEOUSArtificial neural networkApplied MathematicsControl reconfigurationInversion (meteorology)neural networks[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsNonlinear systemComputer Science::Computer Vision and Pattern RecognitionModeling and SimulationNonlinear dynamics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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