Search results for " clusters"

showing 10 items of 1091 documents

Hybrid chalcogenide nanoparticles: 2D-WS2 nanocrystals inside nested WS2 fullerenes.

2013

The MOCVD assisted formation of nested WS2 inorganic fullerenes (IF-WS2) was performed by enhancing surface diffusion with iodine, and fullerene growth was monitored by taking TEM snapshots of intermediate products. The internal structure of the core–shell nanoparticles was studied using scanning electron microscopy (SEM) after cross-cutting with a focused ion beam (FIB). Lamellar reaction intermediates were found occluded in the fullerene particles. In contrast to carbon fullerenes, layered metal chalcogenides prefer the formation of planar, plate-like structures where the dangling bonds at the edges are stabilized by excess S atoms. The effects of the reaction and annealing temperatures o…

Surface diffusionMaterials scienceFullereneChalcogenideScanning electron microscopeDangling bondNanoparticleFocused ion beamInorganic Chemistrychemistry.chemical_compoundCrystallographyChemical engineeringchemistryPhysics::Atomic and Molecular ClustersLamellar structureDalton transactions (Cambridge, England : 2003)
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Surfactant self-assembling in gas phase: positively monocharged sodium alkanesulfonate clusters

2009

Surfactant self-assemblingAlkanesulfonate clusters
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The REFLEX galaxy cluster survey VIII. Spectroscopic observations and optical atlas

2009

We present the final data from the spectroscopic survey of the ROSAT-ESO Flux-Limited X-ray (REFLEX) catalog of galaxy clusters. The REFLEX survey covers 4.24 steradians (34% of the entire sky) below a declination of 2.5 deg and at high Galactic latitude (|b| > 20 deg). The REFLEX catalog includes 447 entries with a median redshift of 0.08 and is better than 90% complete to a limiting flux fx = 3x10^{-12} erg s^{-1} cm^{-2} (0.1 to 2.4 keV), representing the largest statistically homogeneous sample of clusters drawn from the ROSAT All-Sky Survey (RASS) to date. Here we describe the details of the spectroscopic observations carried out at the ESO 1.5 m, 2.2 m, and 3.6 m telescopes, as wel…

Surveys; Galaxies : clusters : general; Galaxies : distances and redshiftsCosmology and Nongalactic Astrophysics (astro-ph.CO)media_common.quotation_subjectAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsSurveysSpectral lineROSATdistances and redshifts [Galaxies]Cluster (physics)Astrophysics::Solar and Stellar AstrophysicsGalaxy clusterAstrophysics::Galaxy AstrophysicsUNESCO::ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogonia::Galaxiasmedia_commonPhysicsAstronomy and Astrophysics:ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogonia [UNESCO]:ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogonia::Galaxias [UNESCO]GalaxyRedshiftSpace and Planetary ScienceSkyclusters : general [Galaxies]UNESCO::ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogoniaData reductionAstrophysics - Cosmology and Nongalactic Astrophysics
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Order allocation in a multiple suppliers-manufacturers environment within a dynamic cluster

2015

This study faces the problem of how to evaluate order allocation strategies in a multiple suppliers-manufacturers environment within a dynamic industry cluster that is an environment in which suppliers adopt a policy based on their performance to select the clusters in which to operate. Therefore, the allocation strategy performed by the manufacturers is crucial to keep a long-term supply chain partnership with a specific industry cluster. We use simulation to evaluate order allocation strategies under different market conditions. We show how an allocation strategy that takes into account the whole supply chain’s perspective leads to a sustainable development of the clusters of suppliers.

Sustainable developmentMedia managementOrder allocationComputer scienceMechanical EngineeringSupply chainSettore ING-IND/35 - Ingegneria Economico-GestionaleIndustrial and Manufacturing EngineeringComputer Science ApplicationsNetwork enterprises Coordination Order allocation ClusterSimulationControl and Systems EngineeringGeneral partnershipCluster (physics)Business clusterSoftwareIndustrial organizationSimulationMarket conditions
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Graph-based exploration and clustering analysis of semantic spaces

2019

Abstract The goal of this study is to demonstrate how network science and graph theory tools and concepts can be effectively used for exploring and comparing semantic spaces of word embeddings and lexical databases. Specifically, we construct semantic networks based on word2vec representation of words, which is “learnt” from large text corpora (Google news, Amazon reviews), and “human built” word networks derived from the well-known lexical databases: WordNet and Moby Thesaurus. We compare “global” (e.g., degrees, distances, clustering coefficients) and “local” (e.g., most central nodes and community-type dense clusters) characteristics of considered networks. Our observations suggest that …

Text corpusSemantic spacesComputer Networks and CommunicationsComputer sciencegraph theory0211 other engineering and technologiesWordNetNetwork science02 engineering and technologysemanttinen webSemantic networkword2vec similarity networksWord2vec similarity networksClique relaxationscohesive clusters0202 electrical engineering electronic engineering information engineeringWord2vecCluster analysisThesaurus (information retrieval)021103 operations researchMultidisciplinaryInformation retrievalverkkoteorialcsh:T57-57.97Graph theorycliquesGraph theoryclique relaxationsComputational MathematicsCliqueslcsh:Applied mathematics. Quantitative methodssemantic spaces020201 artificial intelligence & image processingCohesive clusters
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Distributed Data Clustering via Opinion Dynamics

2015

We provide a distributed method to partition a large set of data in clusters, characterized by small in-group and large out-group distances. We assume a wireless sensors network in which each sensor is given a large set of data and the objective is to provide a way to group the sensors in homogeneous clusters by information type. In previous literature, the desired number of clusters must be specified a priori by the user. In our approach, the clusters are constrained to have centroids with a distance at least ε between them and the number of desired clusters is not specified. Although traditional algorithms fail to solve the problem with this constraint, it can help obtain a better cluste…

Theoretical computer scienceArticle SubjectComputer Networks and Communicationsbusiness.industryComputer scienceGeneral EngineeringConstrained clusteringPartition (database)lcsh:QA75.5-76.95NETWORKSDetermining the number of clusters in a data setConsensusSettore ING-INF/04 - AutomaticaCONSENSUS PROBLEMSWirelesslcsh:Electronic computers. Computer sciencebusinessCluster analysis
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Positron detrapping from defects: A thermodynamic approach

1981

The rate of positron detrapping in thermal equilibrium from lattice defects has been calculated by relating it to the specific trapping rate. The results for vacancies, dislocations and surfaces each show a different temperature dependence for the escape rate. For vacancies a measure of the importance of the detrapping can be obtained from the ratio of the vacancy formation energy to the positron binding energy in the defect. The positronium desorption rate from a surface is also calculated and agreement with experimental results is found.

Thermal equilibriumPhysics and Astronomy (miscellaneous)ChemistryBinding energyGeneral EngineeringGeneral ChemistryTrappingPositroniumCondensed Matter::Materials SciencePositronLattice defectsDesorptionVacancy defectPhysics::Atomic and Molecular ClustersGeneral Materials ScienceAtomic physicsApplied Physics A Solids and Surfaces
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Through-space spin-spin coupling in acetylenic systems. Ab initio and DFT calculations

2003

Abstract: We have investigated, by means of ab initio and DFT calculations, the magnitude of through-space spin-spin couplings ( J CH and J HH ) in CH/π bonded van der Waals dimers involving acetylene, and in a structurally related covalent compound (4-ethynylphenanthrene). Within regions where the interaction is stabilizing J HH couplings are very small (< 0.1 Hz) for all complexes. In the acetylene-methane complex J CH is also very small, whereas in the acetylene-benzene complex and the acetylene dimer it shows a relatively large dependence on the tilt angle from the T-shaped arrangement, for which the smallest values are calculated, to a parallel slipped arrangement where J CH is ca. 0.5…

Through-space couplingDimerAb initioDFTCatalysisspin-spin couplinglcsh:ChemistryInorganic Chemistrychemistry.chemical_compoundsymbols.namesakeNMR spectroscopyComputational chemistryThrough-space coupling / NMR / ab initio / DFTPhysics::Atomic and Molecular ClustersPhysics::Chemical PhysicsPhysical and Theoretical ChemistryNMR spectroscopy; computational chemistry; spin-spin couplingSpin (physics)lcsh:QH301-705.5Molecular BiologySpectroscopyCouplingab initioChemistryOrganic ChemistryGeneral MedicineNuclear magnetic resonance spectroscopycomputational chemistryNMRComputer Science ApplicationsCrystallographylcsh:Biology (General)lcsh:QD1-999AcetyleneCovalent bondsymbolsCondensed Matter::Strongly Correlated ElectronsComputingMethodologies_GENERALvan der Waals force
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Simulating pump-probe photo-electron and absorption spectroscopy on the attosecond time-scale with time-dependent density-functional theory

2013

Molecular absorption and photoelectron spectra can be efficiently predicted with real-time time-dependent density functional theory. We show herein how these techniques can be easily extended to study time-resolved pump-probe experiments, in which a system response (absorption or electron emission) to a probe pulse is measured in an excited state. This simulation tool helps with the interpretation of fast-evolving attosecond time-resolved spectroscopic experiments, in which electronic motion must be followed at its natural timescale. We show how the extra degrees of freedom (pump-pulse duration, intensity, frequency, and time delay), which are absent in a conventional steady-state experimen…

Time-resolved spectroscopyTime FactorsAbsorption spectroscopyAtomic Physics (physics.atom-ph)AttosecondAttosecond dynamicsFOS: Physical sciencesPump probesingle-molecule studies01 natural sciencestime-resolved spectroscopySettore FIS/03 - Fisica Della MateriaPhysics - Atomic PhysicsAb initio quantum chemistry methodsPhysics - Chemical Physics0103 physical sciencesPhysics - Atomic and Molecular ClustersLaser spectroscopyPhysical and Theoretical Chemistry010306 general physicsSpectroscopyPhysicsChemical Physics (physics.chem-ph)010304 chemical physicsEuropean researchab initio calculationsPhotoelectron SpectroscopySingle-molecule studiesattosecond dynamicsTime-dependent density functional theoryAtomic and Molecular Physics and OpticsPhysics - Plasma PhysicsPlasma Physics (physics.plasm-ph)X-Ray Absorption Spectroscopylaser spectroscopyQuantum TheoryAtomic physicsTime-resolved spectroscopyAtomic and Molecular Clusters (physics.atm-clus)
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Mathematical model for the adsorption-induced nonlocal frequency shift in adatoms-nanobeam system

2017

Abstract This paper models and investigates the resonance frequency shift induced by the adsorption phenomena for an adatoms-nanobeam system including the small scale effect as well as rotary inertia and shear distortion effects. The Lennard-Jones (6–12) type potential is used to determine the adsorption-induced energy owing van der Waals (vdW) interaction mechanism between adatom-adatom and adatom-substrate. The small scale effect is introduced by using Eringen's nonlocal elasticity theory while the explicit expressions of inertia moment and shear force are derived from the standard Timoshenko beam equations in which the residual stress effect is accounted as an additive axial load. Numeri…

Timoshenko beam theoryPhysicsCondensed matter physicsmedia_common.quotation_subjectShear forceRotary inertia02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter PhysicsInertiaElectronic Optical and Magnetic MaterialsMoment (mathematics)VibrationShear (sheet metal)Condensed Matter::Materials Sciencesymbols.namesake020303 mechanical engineering & transports0203 mechanical engineeringPhysics::Atomic and Molecular ClusterssymbolsPhysics::Chemical PhysicsElectrical and Electronic Engineeringvan der Waals force0210 nano-technologymedia_commonPhysica B: Condensed Matter
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