Search results for "Length scale"

showing 10 items of 75 documents

Residual Stresses in Glasses

2013

The history dependence of the glasses formed from flow-melted steady states by a sudden cessation of the shear rate $\dot\gamma$ is studied in colloidal suspensions, by molecular dynamics simulations, and mode-coupling theory. In an ideal glass, stresses relax only partially, leaving behind a finite persistent residual stress. For intermediate times, relaxation curves scale as a function of $\dot\gamma t$, even though no flow is present. The macroscopic stress evolution is connected to a length scale of residual liquefaction displayed by microscopic mean-squared displacements. The theory describes this history dependence of glasses sharing the same thermodynamic state variables, but differi…

Length scaleThermodynamic stateFOS: Physical sciencesGeneral Physics and Astronomy02 engineering and technologyCondensed Matter - Soft Condensed Matterglasses01 natural sciencesMolecular dynamicsResidual stress0103 physical sciencesddc:530Ideal (ring theory)010306 general physicsPhysicsCondensed Matter - Materials ScienceCondensed matter physicsMaterials Science (cond-mat.mtrl-sci)021001 nanoscience & nanotechnologyShear rateCondensed Matter::Soft Condensed MatterFlow (mathematics)residual stressesSoft Condensed Matter (cond-mat.soft)Relaxation (physics)rheology0210 nano-technologyRheology Glasses Residual Stresses Mode Coupling Theory
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Structural Organization of Poly(vinyl alcohol) Hydrogels Obtained by Freezing and Thawing Techniques:  A SANS Study

2005

The structural organization of matter in poly(vinyl alcohol) (PVA) hydrogels obtained by repeatedly freezing and thawing dilute solutions of PVA in D2O is investigated by use of small-angle neutron scattering measurements (SANS). This study is the first systematic and quantitative investigation in the medium range of length scales on PVA hydrogels obtained by freezing and thawing techniques. The studied gels have a complex hierarchical structure, extending over a wide range of length scales. The structural organization on the micron length scale originates from the presence of two separated phases constituted by polymer-rich and polymer-poor regions. The network structure may be interpreted…

Length scaleVinyl alcoholMaterials sciencenanostructureGeneral Chemical EngineeringNeutron scatteringPOLYVINYL-ALCOHOL) GELSGELATION PROCESSchemistry.chemical_compoundPhase (matter)AQUEOUS-SOLUTIONSPolymer chemistryMaterials ChemistrySMALL-ANGLE NEUTRONStructural organizationGeneral ChemistryLIGHT-SCATTERINGCondensed Matter::Soft Condensed MatterChemical engineeringchemistryMedium rangeSelf-healing hydrogelsSmall-angle neutron scatteringMORPHOLOGYCrystallitehydrogelPHASE-SEPARATIONChemistry of Materials
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Self Calibrating Nano-Ruler

2012

The aim of a nanoruler is to measure distances on a length scale in the order of nanometers. This concept can be realized by two plasmonic nanoparticles (usually spheres), which are placed within a short distance to each other. Since the plasmon modes of both particles are coupled, they influence each other along the interparticle axis (i.e. longitudinal plasmon mode, resulting in a shift of the resonance wavelength compared to the single particle. Because the resulting resonance wavelength depends on the interparticle distance, the spectral investigation of such a dimer allows the determination of the interparticle distance.

Longitudinal modeLength scaleNanorulerPlasmonic nanoparticlesMaterials sciencePhysics::OpticsParticleSPHERESMolecular physicsRefractive indexPlasmon
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Large monolithic silica-based macrocellular foams with trimodal pore system.

2003

Silica-based materials with hierarchical pore systems at three different length scales (small mesopores–large mesopores–macropores) have been prepared through a nanotectonic approach by using mesoporous nanoparticles as building blocks; the resulting materials present a highly accessible foam-like architecture and can be prepared as large monoliths. Huerta Morillo, Lenin Jose, Lenin.Huerta@uv.es ; Latorre Saborit, Julio, Julio.Latorre@uv.es ; Beltran Porter, Aurelio, Aurelio.Beltran@uv.es ; Beltran Porter, Daniel, Daniel.Beltran@uv.es ; Amoros del Toro, Pedro Jose, Pedro.Amoros@uv.es

Materials scienceMonolithic silica-based ; Trimodal pore system ; Different length scalesUNESCO::QUÍMICAMetals and AlloysNanoparticleMineralogyPore systemGeneral ChemistryUNESCO::QUÍMICA::Química macromolecular:QUÍMICA [UNESCO]CatalysisSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsChemical engineeringMaterials ChemistryCeramics and Composites:QUÍMICA::Química macromolecular [UNESCO]Trimodal pore systemMesoporous materialDifferent length scalesMonolithic silica-basedChemical communications (Cambridge, England)
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Characteristic Length Scales and Radial Monomer Density Profiles of Molecular Bottle-Brushes: Simulation and Experiment

2010

Extensive Monte Carlo simulations are presented for bottle-brush polymers under good solvent conditions, using the bond fluctuation model on the simple cubic lattice. Varying the backbone length (from Nb = 67 to Nb = 259 effective monomers) as well as the side chain length (from N = 6 to N = 48), for a physically reasonable grafting density of one chain per backbone monomer, we find that the structure factor describing the total scattering from the bottle-brush provides an almost perfect match for some combinations of (Nb, N) to experimental data of Rathgeber et al. [J. Chem. Phys. 2005, 122, 124904], when we adjust the length scale of the simulation to reproduce the experimental gyration r…

Persistence lengthLength scaleQuantitative Biology::BiomoleculesPolymers and PlasticsCharacteristic lengthChemistryOrganic ChemistryMonte Carlo methodRadiusGyrationMolecular physicsCondensed Matter::Soft Condensed MatterInorganic ChemistryMaterials ChemistrySide chainStatistical physicsStructure factorMacromolecules
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Dimensional analysis of pore scale and field scale immiscible displacement

1996

A basic re-examination of the traditional dimensional analysis of microscopic and macroscopic multiphase flow equations in porous media is presented. We introduce a ‘macroscopic capillary number’\(\overline {Ca}\) which differs from the usual microscopic capillary number Ca in that it depends on length scale, type of porous medium and saturation history. The macroscopic capillary number\(\overline {Ca}\) is defined as the ratio between the macroscopic viscous pressure drop and the macroscopic capillary pressure.\(\overline {Ca}\) can be related to the microscopic capillary number Ca and the LeverettJ-function. Previous dimensional analyses contain a tacit assumption which amounts to setting…

PhysicsLength scaleCapillary pressureCapillary actionGeneral Chemical EngineeringMultiphase flowThermodynamicsGeotechnical engineeringTwo-phase flowSaturation (chemistry)Porous mediumCatalysisCapillary numberTransport in Porous Media
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Universal scaling for the quantum Ising chain with a classical impurity

2017

We study finite size scaling for the magnetic observables of an impurity residing at the endpoint of an open quantum Ising chain in a transverse magnetic field, realized by locally rescaling the magnetic field by a factor $\mu \neq 1$. In the homogeneous chain limit at $\mu = 1$, we find the expected finite size scaling for the longitudinal impurity magnetization, with no specific scaling for the transverse magnetization. At variance, in the classical impurity limit, $\mu = 0$, we recover finite scaling for the longitudinal magnetization, while the transverse one basically does not scale. For this case, we provide both analytic approximate expressions for the magnetization and the susceptib…

PhysicsLength scaleElectronic Optical and Magnetic Materials; Condensed Matter PhysicsElectronic Optical and Magnetic MaterialObservable--Condensed Matter Physics01 natural sciencesSquare latticeSettore FIS/03 - Fisica Della Materia010305 fluids & plasmasMagnetic fieldMagnetizationQuantum mechanics0103 physical sciencesIsing model010306 general physicsQuantumScaling
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Configurational entropy of microemulsions : The fundamental length scale

1993

Phenomenological models have been quite successful in characterizing both the various complex phases and the corresponding phase diagrams of microemulsions. In some approaches, e.g., the random mixing model (RMM), the lattice parameter is of the order of the dimension of an oil or water domain and has been used as a length scale for computing a configurational entropy, the so‐called entropy of mixing, of the microemulsion. In the central and material section of this paper (Sec. III), we show that the fundamental length scale for the calculation of the entropy of mixing is of the order of the cube root of the volume per molecule—orders of magnitude smaller than the dimension of such a domain…

PhysicsLength scalePhase StudiesEntropyConfiguration entropyGeneral Physics and AstronomyThermodynamicsEntropy of mixingMicroemulsions ; Entropy ; Phase Diagrams ; Lattice Parameters ; Dispersions ; Phase StudiesUNESCO::FÍSICA::Química físicaPhase spacePhenomenological modelMicroemulsionsLattice ParametersStatistical physicsConfiguration spacePhase DiagramsPhysical and Theoretical ChemistryEntropy (energy dispersal)Dispersions:FÍSICA::Química física [UNESCO]Cube root
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Hierarchies of length-scale based typology in anisotropic U(1)s -wave multiband superconductors

2019

Since Ginzburg and Landau's seminal work in 1950, superconducting states have been classified by the hierarchy of the fundamental length scales of the theory, the magnetic-field penetration lengths ...

PhysicsLength scaleSuperconductivityHierarchy02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesTheoretical physicsCondensed Matter::Superconductivity0103 physical sciencesS-wave010306 general physics0210 nano-technologyAnisotropyU-1Physical Review B
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Estimation of the Roughness Function in Turbulent Flows Using the Slope of the Roughness

2019

In the last decades, important efforts have been made to better understand the effects of surface roughness on the mean flow. These studies have been performed investigating turbulent channel flows, turbulent boundary layers or pipe flows. The most evident effect of the roughness is the increase of the overall resistance, corresponding to a decrease of the mean streamwise velocity profile in the logarithmic region. This reduction is known as roughness function \(\varDelta U^+\) (the symbol \(^+\) represents quantities made non dimensional using the friction velocity \(u_{\tau }\), or the viscous length scale \(\nu /u_{\tau }\)).

Physics::Fluid DynamicsLength scalePhysicsLogarithmTurbulenceSurface roughnessBoundary (topology)Mean flowGeometryShear velocitySurface finish
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