Search results for "S-N"

showing 10 items of 292 documents

From equilibrium to steady state: The transient dynamics of colloidal liquids under shear

2008

We investigate stresses and particle motion during the start up of flow in a colloidal dispersion close to arrest into a glassy state. A combination of molecular dynamics simulation, mode coupling theory and confocal microscopy experiment is used to investigate the origins of the widely observed stress overshoot and (previously not reported) super-diffusive motion in the transient dynamics. A link between the macro-rheological stress versus strain curves and the microscopic particle motion is established. Negative correlations in the transient auto-correlation function of the potential stresses are found responsible for both phenomena, and arise even for homogeneous flows and almost Gaussia…

Materials scienceGaussianFOS: Physical sciencesCondensed Matter - Soft Condensed Matterconfocal microscopyMolecular dynamicssymbols.namesakeColloidddc:530General Materials ScienceColloids Glasses Shear Dynamics TransientMagnetosphere particle motionglass forming liquids under shearmode coupling serieDisordered Systems and Neural Networks (cond-mat.dis-nn)MechanicsCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsStart upmolecular dynamicsCondensed Matter::Soft Condensed MatterShear (geology)HomogeneousMode couplingsymbolsSoft Condensed Matter (cond-mat.soft)
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Inverse simulated annealing: Improvements and application to amorphous InSb

2014

An improved inverse simulated annealing method is presented to determine the structure of complex disordered systems from first principles in agreement with available experimental data or desired predetermined target properties. The effectiveness of this method is demonstrated by revisiting the structure of amorphous InSb. The resulting network is mostly tetrahedral and in excellent agreement with available experimental data.

Materials scienceGeneral Computer ScienceGeneral Physics and AstronomyInverseFOS: Physical sciencesDisordered material02 engineering and technology01 natural sciencesMolecular physicsSimulated annealingCondensed Matter::Materials Science0103 physical sciencesGeneral Materials Science010306 general physicsStructure determinationFIS/03 - FISICA DELLA MATERIAQuenchingCondensed Matter - Materials ScienceInverse designExperimental dataMaterials Science (cond-mat.mtrl-sci)General ChemistryDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksComputational Physics (physics.comp-ph)021001 nanoscience & nanotechnologyAmorphous solidComputational MathematicsMechanics of MaterialsSimulated annealingTetrahedron0210 nano-technologyPhysics - Computational Physics
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Wave-Vector Dependence of the Dynamics in Supercooled Metallic Liquids

2020

Physical review letters 125(5), 055701 (2020). doi:10.1103/PhysRevLett.125.055701

Materials scienceGeneral Physics and AstronomyFOS: Physical sciencesCondensed Matter - Soft Condensed Matter01 natural sciencesMolecular physics530Amorphous materials[SPI]Engineering Sciences [physics]Dynamic light scatteringPhase (matter)0103 physical sciences[CHIM]Chemical SciencesWave vectorddc:530010306 general physicsSupercoolingMetallic glasses[PHYS]Physics [physics]Dynamical phase transitionsScattering500LiquidsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksX-ray photon correlation spectroscopyParticleRelaxation (physics)Soft Condensed Matter (cond-mat.soft)Glass transition
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Glassy dynamics in monodisperse hard ellipsoids

2008

We present evidence from computer simulations for glassy dynamics in suspensions of monodisperse hard ellipsoids. In equilibrium, almost spherical ellipsoids show a first order transition from an isotropic phase to a rotator phase. When overcompressing the isotropic phase into the rotator regime, we observe super-Arrhenius slowing down of diffusion and relaxation, accompanied by two-step relaxation in positional and orientational correlators. The effects are strong enough for asymptotic laws of mode-coupling theory to apply. Glassy dynamics are unusual in monodisperse systems. Typically, polydispersity in size or a mixture of particle species is prerequisite to prevent crystallization. Here…

Materials scienceIsotropyDynamics (mechanics)Dispersity: Physics [G04] [Physical chemical mathematical & earth Sciences]General Physics and AstronomyFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Soft Condensed MatterCondensed Matter - Disordered Systems and Neural NetworksEllipsoidlaw.inventionCondensed Matter::Soft Condensed Matter: Physique [G04] [Physique chimie mathématiques & sciences de la terre]lawChemical physicsPhase (matter)Relaxation (physics)ParticleSoft Condensed Matter (cond-mat.soft)CrystallizationDiffusion (business)
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Molecular Dynamics Simulations

2003

A tutorial introduction to the technique of Molecular Dynamics (MD) is given, and some characteristic examples of applications are described. The purpose and scope of these simulations and the relation to other simulation methods is discussed, and the basic MD algorithms are described. The sampling of intensive variables (temperature T, pressure p) in runs carried out in the microcanonical (NVE) ensemble (N= particle number, V = volume, E = energy) is discussed, as well as the realization of other ensembles (e.g. the NVT ensemble). For a typical application example, molten SiO2, the estimation of various transport coefficients (self-diffusion constants, viscosity, thermal conductivity) is d…

Materials scienceParticle numberSampling (statistics)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsShear (sheet metal)ViscosityMolecular dynamicsThermal conductivityVolume (thermodynamics)General Materials ScienceStatistical physicsRealization (systems)
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Aging as dynamics in configuration space

1999

The relaxation dynamics of many disordered systems, such as structural glasses, proteins, granular materials or spin glasses, is not completely frozen even at very low temperatures. This residual motion leads to a change of the properties of the material, a process commonly called aging. Despite recent advances in the theoretical description of such aging processes, the microscopic mechanisms leading to the aging dynamics are still a matter of dispute. In this Letter we investigate the aging dynamics of a simple glass former by means of molecular dynamics computer simulation. Using the concept of the inherent structure we give evidence that aging dynamics can be understood as a decrease of …

Materials scienceSpin glassStatistical Mechanics (cond-mat.stat-mech)Dynamics (mechanics)General Physics and AstronomyFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Soft Condensed MatterCondensed Matter - Disordered Systems and Neural NetworksGranular materialMolecular dynamicsChemical physicsRelaxation (physics)Soft Condensed Matter (cond-mat.soft)Configuration spaceCondensed Matter - Statistical Mechanics
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Coarsened Lattice Model for Random Granular Systems

1998

In random systems consisting of grains with size distributions the transport properties are difficult to explore by network models. However, the concentration dependence of effective conductivity and its critical properties can be considered within coarsened lattice model proposed that takes into account information from experimentally known size histograms. For certain classes of size distributions the specific local arrangements of grains can induce either symmetrical or unsymmetrical critical behaviour at two threshold concentrations. Using histogram related parameters the non-monotonic behaviour of the conductor-insulator and conductor-superconductor threshold is demonstrated.

Materials scienceStatistical Mechanics (cond-mat.stat-mech)Critical phenomenaFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)ConductivityCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsGrain sizeElectronic Optical and Magnetic MaterialsDistribution functionPercolationHistogramStatistical physicsLattice model (physics)Condensed Matter - Statistical MechanicsNetwork model
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Slow dynamics in ion-conducting sodium silicate melts: Simulation and mode-coupling theory

2005

A combination of molecular-dynamics (MD) computer simulation and mode-coupling theory (MCT) is used to elucidate the structure-dynamics relation in sodium-silicate melts (NSx) of varying sodium concentration. Using only the partial static structure factors from the MD as an input, MCT reproduces the large separation in relaxation time scales of the sodium and the silicon/oxygen components. This confirms the idea of sodium diffusion channels which are reflected by a prepeak in the static structure factors around 0.95 A^-1, and shows that it is possible to explain the fast sodium-ion dynamics peculiar to these mixtures using a microscopic theory.

Materials scienceStatistical Mechanics (cond-mat.stat-mech)SiliconSodiumFOS: Physical sciencesGeneral Physics and Astronomychemistry.chemical_elementSodium silicateDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksOxygenIonchemistry.chemical_compoundchemistryChemical physicsMode couplingDiffusion (business)Microscopic theoryCondensed Matter - Statistical MechanicsEurophysics Letters (EPL)
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Statics and dynamics of colloid-polymer mixtures near their critical point of phase separation: A computer simulation study of a continuous Asakura–O…

2008

We propose a new coarse-grained model for the description of liquid-vapor phase separation of colloid-polymer mixtures. The hard-sphere repulsion between colloids and between colloids and polymers, which is used in the well-known Asakura-Oosawa (AO) model, is replaced by Weeks-Chandler-Anderson potentials. Similarly, a soft potential of height comparable to thermal energy is used for the polymer-polymer interaction, rather than treating polymers as ideal gas particles. It is shown by grand-canonical Monte Carlo simulations that this model leads to a coexistence curve that almost coincides with that of the AO model and the Ising critical behavior of static quantities is reproduced. Then the …

Materials sciencecritical pointsMonte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyThermodynamicsCondensed Matter - Soft Condensed MatterCritical point (mathematics)Molecular dynamicscolloidspolymer solutionsPhysical and Theoretical Chemistryliquid-vapour transformationsBinodalliquid mixturesLennard-Jones potentialMonte Carlo methodsDisordered Systems and Neural Networks (cond-mat.dis-nn)Statistical mechanicsCondensed Matter - Disordered Systems and Neural Networksself-diffusionIdeal gasliquid theoryCondensed Matter::Soft Condensed Mattermolecular dynamics methodLennard-Jones potentialSoft Condensed Matter (cond-mat.soft)Ising modelstatistical mechanicsphase separationThe Journal of Chemical Physics
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Partial joint processing with efficient backhauling using particle swarm optimization

2012

In cellular communication systems with frequency reuse factor of one, user terminals (UT) at the cell-edge are prone to intercell interference. Joint processing is one of the coordinated multipoint transmission techniques proposed to mitigate this interference. In the case of centralized joint processing, the channel state information fed back by the users need to be available at the central coordination node for precoding. The precoding weights (with the user data) need to be available at the corresponding base stations to serve the UTs. These increase the backhaul traffic. In this article, partial joint processing (PJP) is considered as a general framework that allows reducing the amount …

Mathematical optimizationComputer Networks and CommunicationsComputer scienceReal-time computingSignal-to-interference-plus-noise ratio02 engineering and technologycoordinated multipointPrecodingFrequency reusejoint processingBase station0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringZero-forcing precodingComunicació i tecnologiaprecodingOther Electrical Engineering Electronic Engineering Information Engineeringparticle swarm optimizationComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSParticle swarm optimization020206 networking & telecommunications020302 automobile design & engineeringstochastic optimizationComputer Science ApplicationsBackhaul (telecommunications)Channel state informationSignal ProcessingTelecommunicationsStochastic optimizationEURASIP Journal on Wireless Communications and Networking
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