Search results for "NEURAL NETWORK"

showing 10 items of 1385 documents

Glass transition of binary mixtures of dipolar particles in two dimensions

2010

We study the glass transition of binary mixtures of dipolar particles in two dimensions within the framework of mode-coupling theory, focusing in particular on the influence of composition changes. In a first step, we demonstrate that the experimental system of K\"onig et al. [Eur. Phys. J. E 18, 287 (2005)] is well described by point dipoles through a comparison between the experimental partial structure factors and those from our Monte Carlo simulation. For such a mixture of point particles we show that there is always a plasticization effect, i.e. a stabilization of the liquid state due to mixing, in contrast to binary hard disks. We demonstrate that the predicted plasticization effect i…

Materials scienceCondensed matter physicsMonte Carlo methodFOS: Physical sciencesThermodynamicsBinary numberDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Soft Condensed MatterCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsColloidDipoleExperimental systemMaterials ChemistryCeramics and CompositesSoft Condensed Matter (cond-mat.soft)Point (geometry)Glass transitionMixing (physics)Journal of Non-Crystalline Solids
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Amorphous silica between confining walls and under shear: a computer simulation study

2002

Molecular dynamics computer simulations are used to investigate a silica melt confined between walls at equilibrium and in a steady-state Poisseuille flow. The walls consist of point particles forming a rigid face-centered cubic lattice and the interaction of the walls with the melt atoms is modelled such that the wall particles have only a weak bonding to those in the melt, i.e. much weaker than the covalent bonding of a Si-O unit. We observe a pronounced layering of the melt near the walls. This layering, as seen in the total density profile, has a very irregular character which can be attributed to a preferred orientational ordering of SiO4 tetrahedra near the wall. On intermediate lengt…

Materials scienceCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)Shear viscosityGeneral Physics and AstronomyFOS: Physical sciencesSlip (materials science)Disordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksPhysics::Fluid DynamicsMolecular dynamicsLattice (order)TetrahedronPhysical and Theoretical ChemistryLayeringAmorphous silicaCondensed Matter - Statistical Mechanics
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Modeling non-linear dielectric susceptibilities of supercooled molecular liquids

2021

Advances in high-precision dielectric spectroscopy have enabled access to non-linear susceptibilities of polar molecular liquids. The observed non-monotonic behavior has been claimed to provide strong support for theories of dynamic arrest based on the thermodynamic amorphous order. Here, we approach this question from the perspective of dynamic facilitation, an alternative view focusing on emergent kinetic constraints underlying the dynamic arrest of a liquid approaching its glass transition. We derive explicit expressions for the frequency-dependent higher-order dielectric susceptibilities exhibiting a non-monotonic shape, the height of which increases as temperature is lowered. We demons…

Materials scienceFOS: Physical sciencesGeneral Physics and AstronomyDisordered Systems and Neural Networks (cond-mat.dis-nn)DielectricCondensed Matter - Soft Condensed MatterCondensed Matter - Disordered Systems and Neural NetworksAmorphous solidDielectric spectroscopyCondensed Matter::Soft Condensed MatterNonlinear systemChemical physicsSoft Condensed Matter (cond-mat.soft)PolarRelaxation (physics)Physical and Theoretical ChemistrySupercoolingGlass transition
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COOLING RATE DEPENDENCE AND DYNAMIC HETEROGENEITY BELOW THE GLASS TRANSITION IN A LENNARD–JONES GLASS

1999

We investigate a binary Lennard-Jones mixture with molecular dynamics simulations. We consider first a system cooled linearly in time with the cooling rate gamma. By varying gamma over almost four decades we study the influence of the cooling rate on the glass transition and on the resulting glass. We find for all investigated quantities a cooling rate dependence; with decreasing cooling rate the system falls out of equilibrium at decreasing temperatures, reaches lower enthalpies and obtains increasing local order. Next we study the dynamics of the melting process by investigating the most immobile and most mobile particles in the glass. We find that their spatial distribution is heterogene…

Materials scienceFOS: Physical sciencesGeneral Physics and AstronomyThermodynamics02 engineering and technologyCondensed Matter - Soft Condensed Matter01 natural sciencesMolecular dynamics0103 physical sciences010306 general physicsCondensed Matter - Statistical MechanicsMathematical PhysicsCondensed Matter - Materials ScienceStatistical Mechanics (cond-mat.stat-mech)Materials Science (cond-mat.mtrl-sci)Statistical and Nonlinear PhysicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural Networks021001 nanoscience & nanotechnologyComputer Science ApplicationsCooling rateComputational Theory and MathematicsSoft Condensed Matter (cond-mat.soft)Particle0210 nano-technologyGlass transitionInternational Journal of Modern Physics C
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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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Isotope effects on the dynamics of a supercooled van der Waals liquid

2000

Deuteron magnetic resonance was used to study three differently isotope-labeled species of the fragile glass-forming liquid ortho-terphenyl. The calorimetric glass transition of the isotope deuterated only at the central phenyl ring is significantly lower than that of the perdeuterated one. It is shown that while the ortho-terphenyl molecule is not as rigid as previously often assumed, its overall reorientation geometry is independent of deuteration. The characteristic jump angles are found to increase with temperature, thus resolving an apparent discrepancy previously noted when comparing typical jump sizes from NMR with other data.

Materials scienceIsotopeSpin–lattice relaxationGeneral Physics and AstronomyCondensed Matter::Disordered Systems and Neural Networks530symbols.namesakeDeuteriumChemical physicsKinetic isotope effectsymbolsPhysical chemistryMoleculevan der Waals forcePhysics::Chemical PhysicsSupercoolingGlass transitionAstrophysics::Galaxy Astrophysics
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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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Nanorings and rods interconnected by self-assembly mimicking an artificial network of neurons

2013

[EN] Molecular electronics based on structures ordered as neural networks emerges as the next evolutionary milestone in the construction of nanodevices with unprecedented applications. However, the straightforward formation of geometrically defined and interconnected nanostructures is crucial for the production of electronic circuitry nanoequivalents. Here we report on the molecularly fine-tuned self-assembly of tetrakis-Schiff base compounds into nanosized rings interconnected by unusually large nanorods providing a set of connections that mimic a biological network of neurons. The networks are produced through self-assembly resulting from the molecular conformation and noncovalent intermo…

Materials scienceNanostructurePolymersSurface PropertiesEvaporationGeneral Physics and AstronomyNanoparticleNanotechnologyElectronsHardware_PERFORMANCEANDRELIABILITY010402 general chemistry01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyRodCircuitsCIENCIA DE LOS MATERIALES E INGENIERIA METALURGICAHardware_INTEGRATEDCIRCUITSAnimalsHumansNanotechnologyMolecular circuitsRingsSchiff BasesElectronic circuitNeuronsMultidisciplinaryNanotubes010405 organic chemistryFlowElectric ConductivityArchitecturesGeneral ChemistryEvaporation (deposition)0104 chemical sciencesNanostructuresNanoparticlesSelf-assemblyNeural Networks ComputerPrinciplesHardware_LOGICDESIGNModel
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