Search results for "computational"

showing 10 items of 5884 documents

Improving the Downwind Sail Design Process by Means of a Novel FSI Approach

2021

The process of designing a sail can be a challenging task because of the difficulties in predicting the real aerodynamic performance. This is especially true in the case of downwind sails, where the evaluation of the real shapes and aerodynamic forces can be very complex because of turbulent and detached flows and the high-deformable behavior of structures. Of course, numerical methods are very useful and reliable tools to investigate sail performances, and their use, also as a result of the exponential growth of computational resources at a very low cost, is spreading more and more, even in not highly competitive fields. This paper presents a new methodology to support sail designers in ev…

sail loadsComputer sciencefinite element methodNaval architecture. Shipbuilding. Marine engineeringVM1-989020101 civil engineeringOcean Engineering02 engineering and technologycomputational fluid dynamicsGC1-1581Computational fluid dynamicsOceanography01 natural sciences010305 fluids & plasmas0201 civil engineeringcomputational fluid dynamic0103 physical sciencesFSISettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeWater Science and TechnologyCivil and Structural EngineeringParametric statisticsbusiness.industryNumerical analysisProcess (computing)Aerodynamicssail designFinite element methodgennakerAerodynamic forceDesign processbusinessMarine engineeringJournal of Marine Science and Engineering
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Some Investigations on Similarity Measures Based on Absent Words

2019

In this paper we investigate similarity measures based on minimal absent words, introduced by Chairungsee and Crochemore in [1]. They make use of a length-weighted index on a sample set corresponding to the symmetric difference M(x)ΔM(y) of the minimal absent words M(x) and M(y) of two sequences x and y, respectively. We first propose a variant of this measure by choosing as a sample set a proper subset (x, y) of M(x)ΔM(y), which appears to be more appropriate for distinguishing x and y. From the algebraic point of view, we prove that (x, y) is the base of the ideal generated by M(x)ΔM(y). We then remark that such measures are able to recognize whether the sequences x and y share a common s…

sequence comparisonAlgebra and Number TheorySettore INF/01 - Informaticabusiness.industryComputer sciencePattern recognitionsimilarity measuresMinimal absent wordsTheoretical Computer ScienceComputational Theory and MathematicsSimilarity (network science)Artificial intelligencebusinessInformation SystemsFundamenta Informaticae
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Shape identification in inverse medium scattering problems with a single far-field pattern

2016

Consider time-harmonic acoustic scattering from a bounded penetrable obstacle $D\subset {\mathbb R}^N$ embedded in a homogeneous background medium. The index of refraction characterizing the material inside $D$ is supposed to be Holder continuous near the corners. If $D\subset {\mathbb R}^2$ is a convex polygon, we prove that its shape and location can be uniquely determined by the far-field pattern incited by a single incident wave at a fixed frequency. In dimensions $N \geq 3$, the uniqueness applies to penetrable scatterers of rectangular type with additional assumptions on the smoothness of the contrast. Our arguments are motivated by recent studies on the absence of nonscattering waven…

shape identificationInversenonscattering wavenumbersType (model theory)Convex polygon01 natural sciencesinverse medium scatteringMathematics - Analysis of PDEs78A46FOS: MathematicsWavenumberUniquenessHelmholtz equation0101 mathematicsMathematicsSmoothness (probability theory)ScatteringApplied Mathematics010102 general mathematicsMathematical analysista111uniqueness74B05010101 applied mathematicsComputational Mathematics35R30Bounded functionAnalysisAnalysis of PDEs (math.AP)SIAM Journal on Mathematical Analysis
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Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory

2021

The atmospheric depth of the air shower maximum $X_{\mathrm{max}}$ is an observable commonly used for the determination of the nuclear mass composition of ultra-high energy cosmic rays. Direct measurements of $X_{\mathrm{max}}$ are performed using observations of the longitudinal shower development with fluorescence telescopes. At the same time, several methods have been proposed for an indirect estimation of $X_{\mathrm{max}}$ from the characteristics of the shower particles registered with surface detector arrays. In this paper, we present a deep neural network (DNN) for the estimation of $X_{\mathrm{max}}$. The reconstruction relies on the signals induced by shower particles in the groun…

showers: energylongitudinal [showers]interaction: modelPhysics::Instrumentation and DetectorsAstronomyCalibration and fitting methods; Cluster finding; Data analysis; Large detector systems for particle and astroparticle physics; Particle identification methods; Pattern recognition01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)Particle identification methodscluster findingsurface [detector]ObservatoryLarge detector systemsInstrumentationMathematical PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEPhysicsPattern recognition cluster finding calibration and fitting methodsPhysicsSettore FIS/01 - Fisica Sperimentalemodel [interaction]DetectorAstrophysics::Instrumentation and Methods for AstrophysicsData analysicalibration and fitting methodsenergy [showers]AugerobservatoryPattern recognition cluster finding calibration and fitting methodastroparticle physicsAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenaatmosphere [showers]airneural networkAstrophysics::High Energy Astrophysical PhenomenaUHE [cosmic radiation]Data analysisFOS: Physical sciences610Cosmic raydetector: fluorescencePattern recognition0103 physical sciencesddc:530High Energy Physicsddc:610[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]cosmic radiation: UHEstructureparticle physicsnetwork: performance010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Ciencias ExactasCherenkov radiationfluorescence [detector]Pierre Auger ObservatoryCalibration and fitting methodsmass spectrum [nucleus]showers: atmospheredetector: surfacehep-ex010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsCluster findingFísicaresolutioncalibrationComputational physicsperformance [network]Cherenkov counterAir showerLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::Experimentnucleus: mass spectrumshowers: longitudinalRAIOS CÓSMICOSEnergy (signal processing)astro-ph.IM
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Synthesis, characterization, and reactivity of heavier group 13 and 14 metallylenes and metalloid clusters : small molecule activation and more

2015

small molecule activationkemiallinen synteesipienmolekyylitsynthesispuolimetallitmolekyylitmain group chemistrylaskennallinen kemiacomputational chemistrykemialliset sidoksetmetalloid clustersmetallylenesnanohiukkasetröntgenkristallografiaX-ray crystallography
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Computational Rationality as a Theory of Interaction

2022

Funding Information: This work was funded by the Finnish Center for AI and Academy of Finland (“BAD” and “Human Automata”). We thank our reviewers, Xiuli Chen, Joerg Mueller, Christian Guckelsberger, Sebastiaan de Peuter, Samuel Kaski, Pierre-Alexandre Murena, Antti Keuru-lainen, Suyog Chandramouli, and Roderick Murray-Smith for their comments. Publisher Copyright: © 2022 ACM. How do people interact with computers? This fundamental question was asked by Card, Moran, and Newell in 1983 with a proposition to frame it as a question about human cognition - in other words, as a matter of how information is processed in the mind. Recently, the question has been reframed as one of adaptation: how …

sopeutuminenmallintaminenatk-laitteetreinforcement learninguser modelscognitive scienceihmisen ja tietokoneen vuorovaikutushuman-centered computinginteractionadaptationHCI theory concepts and modelstekoälyartificial intelligencekognitiotiedephilosophical/ theoretical foundations of artificial intelligenceteoriatCognitive modelingtietokoneetcomputing methodologiesindividual differencescomputational rationality
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Modelling flow and heat transfer in spacer-filled membrane distillation channels using open source CFD code

2013

Abstract A good understanding of the details of hydrodynamic and heat transport conditions and their impact on temperature polarisation and pressure drops is essential for optimum design of membrane distillation (MD) modules. To this end, the present work reports on initial progress in the development of a tool for 3D simulation of spacer-filled MD channels based on the open source CFD code library OpenFOAM. The paper discusses a number of modelling and implementation aspects including model geometry and computational domain, choice of boundary conditions, and discretisation schemes. The results pertaining to the effect of three different spacer types on the fluid dynamics and heat transfer…

spacer-filled channelPressure dropSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciEngineeringWork (thermodynamics)business.industryMechanical EngineeringGeneral Chemical EngineeringFlow (psychology)temperature polarisationMechanical engineeringMembrane distillationGeneral ChemistryComputational fluid dynamicsMembrane distillationHeat transferFluid dynamicsspacerGeneral Materials ScienceBoundary value problemCFDbusinessWater Science and TechnologyDesalination
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Octopus, a computational framework for exploring light-driven phenomena and quantum dynamics in extended and finite systems

2020

Over the last few years, extraordinary advances in experimental and theoretical tools have allowed us to monitor and control matter at short time and atomic scales with a high degree of precision. An appealing and challenging route toward engineering materials with tailored properties is to find ways to design or selectively manipulate materials, especially at the quantum level. To this end, having a state-of-the-art ab initio computer simulation tool that enables a reliable and accurate simulation of light-induced changes in the physical and chemical properties of complex systems is of utmost importance. The first principles real-space-based Octopus project was born with that idea in mind,…

spectroscopyPhotonelectronic-structure calculationsComputer sciencespectraQuantum dynamicsmolecular-dynamicsComplex systemGeneral Physics and AstronomyFOS: Physical sciences010402 general chemistryspin01 natural sciencesSettore FIS/03 - Fisica Della MateriaEngineeringTDDFTreal-space0103 physical sciencesoctopusgeneralized gradient approximationPhysical and Theoretical Chemistrydensity-functional theoryMassively parallelQuantumChemical Physicsreal time010304 chemical physicsComputational Physics (physics.comp-ph)scientific software0104 chemical sciencestotal-energy calculationsphysics.comp-phPhysical SciencesChemical Sciencespolarizable continuum modelState of matterSystems engineeringLight drivenDensity functional theoryPhysics - Computational Physics
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Euclid preparation: XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

2021

Ilbert, O., et al. (Euclid Collaboration)

statistical [Methods]IMPACTUNIVERSEAstrophysics01 natural sciencesDark energyGalaxies: distances and redshiftdark energyPHOTOMETRIC REDSHIFTS010303 astronomy & astrophysicsWeak gravitational lensingPhotometric redshiftmedia_commonPhysicsdistances and redshift [Galaxies]Dark energy; Galaxies: distances and redshifts; Methods: statisticalSIMULATIONastro-ph.CO3103 Astronomy and AstrophysicsProbability distributionSpectral energy distributiongalaxies: distances and redshiftsAstrophysics - Cosmology and Nongalactic AstrophysicsCosmology and Nongalactic Astrophysics (astro-ph.CO)530 Physicsastro-ph.GAmedia_common.quotation_subjectFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic Astrophysics1912 Space and Planetary Science0103 physical sciencesdistances and redshifts [Galaxies]/dk/atira/pure/subjectarea/asjc/1900/1912DISTRIBUTIONSmethods: statistical010308 nuclear & particles physicsAstronomy and AstrophysicsPERFORMANCE115 Astronomy Space scienceAstrophysics - Astrophysics of GalaxiesEVOLUTIONGalaxyUniverseRedshiftSTELLARRESOLUTIONSpace and Planetary Science10231 Institute for Computational ScienceAstrophysics of Galaxies (astro-ph.GA)Dark energy/dk/atira/pure/subjectarea/asjc/3100/3103[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Crystal structure and Hirshfeld surface analysis of [N(CH3)4][2,2′-Fe(1,7-closo-C2B9H11)2]

2017

Abstract This work investigates the meta -ferrabis(dicarbollide) anion that was isolated as salt of tetramethylammonium. The structure of the obtained crystal consisted of discrete [2,2′-Fe(1,7- closo -C 2 B 9 H 11 ) 2 ] − anions and disordered [N(CH 3 ) 4 ] + cations. The anion had a considerable chemical stability ensured by ionic and Van der Waals interactions. Thus, Hirshfeld surfaces and fingerprint plot were used to visualize, explore, and quantify intermolecular interactions in the crystal lattice of the title compound. This investigation proved that close contacts were dominated by H⋯H interactions.

structures: crystalsIonic bondingCrystal structure010402 general chemistrychemistry01 natural sciencesBiochemistryIonInorganic ChemistryCrystalchemistry.chemical_compoundsymbols.namesakeComputational chemistrymeta-carboraneMaterials ChemistryPhysical and Theoretical Chemistryta116x-ray crystallographyTetramethylammoniummetallabis(dicarbollide)010405 organic chemistryOrganic ChemistryIntermolecular forcex-ray technology0104 chemical sciencesCrystallographydihydrogen bondschemistrysymbolsChemical stabilityvan der Waals forceHirshfeld studyJournal of Organometallic Chemistry
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