Search results for "dynamics"

showing 10 items of 9782 documents

Individualizing deep dynamic models for psychological resilience data

2020

ABSTRACTDeep learning approaches can uncover complex patterns in data. In particular, variational autoencoders (VAEs) achieve this by a non-linear mapping of data into a low-dimensional latent space. Motivated by an application to psychological resilience in the Mainz Resilience Project (MARP), which features intermittent longitudinal measurements of stressors and mental health, we propose an approach for individualized, dynamic modeling in this latent space. Specifically, we utilize ordinary differential equations (ODEs) and develop a novel technique for obtaining person-specific ODE parameters even in settings with a rather small number of individuals and observations, incomplete data, an…

Computer sciencemedia_common.quotation_subjectMathematics and computing ; PsychologySpace (commercial competition)Machine learningcomputer.software_genre050105 experimental psychology0504 sociologyHumans0501 psychology and cognitive sciencesBaseline (configuration management)media_commonMultidisciplinarybusiness.industryDeep learning05 social sciencesOde050401 social sciences methodsResilience PsychologicalMental healthRegressionSystem dynamicsMental HealthPsychological resilienceArtificial intelligencebusinesscomputer
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An efficient swap algorithm for the lattice Boltzmann method

2007

During the last decade, the lattice-Boltzmann method (LBM) as a valuable tool in computational fluid dynamics has been increasingly acknowledged. The widespread application of LBM is partly due to the simplicity of its coding. The most well-known algorithms for the implementation of the standard lattice-Boltzmann equation (LBE) are the two-lattice and two-step algorithms. However, implementations of the two-lattice or the two-step algorithm suffer from high memory consumption or poor computational performance, respectively. Ultimately, the computing resources available decide which of the two disadvantages is more critical. Here we introduce a new algorithm, called the swap algorithm, for t…

Computer simulationComputer sciencebusiness.industryLattice Boltzmann methodsGeneral Physics and AstronomyComputational fluid dynamicsProgram optimizationNonlinear Sciences::Cellular Automata and Lattice GasesHigh memoryHardware and ArchitecturebusinessAlgorithmImplementationSwap (computer programming)Coding (social sciences)Computer Physics Communications
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Investigating the cooling rate dependence of amorphous silica: A computer simulation study

1996

We use molecular dynamics computer simulations to study the dependence of the properties of amorphous silica on the cooling rate with which the glass has been produced. In particular we show that the density, the glass transition temperature, the radial distribution function and the distribution of the size of the rings depend on the cooling rate.

Computer simulationDistribution (number theory)ChemistryGeneral Chemical EngineeringThermodynamicsComputer experimentRadial distribution functionCondensed Matter::Disordered Systems and Neural NetworksCondensed Matter::Soft Condensed MatterMolecular dynamicsCooling ratePhysical chemistryAmorphous silicaGlass transitionBerichte der Bunsengesellschaft für physikalische Chemie
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Realistic Implementation of the Particle Model for the Visualization of Nanoparticle Precipitation and Growth

2019

An application for visualizing the aggregation of structureless atoms is presented. The application allows us to demonstrate on a qualitative basis, as well as by quantitatively monitoring the aggregate surface/volume ratio, that the enhanced reactivity of nanoparticles can be connected with their large specific surface. It is suggested that, along with the use of geometric analogies, this bottom-up approach can be effective in discussing the enhanced reactivity proprieties of nanoparticles. The application is based on a two-dimensional realistic dynamic model where atoms move because of their thermal and interaction potential energies, and the trajectories are determined by solving numeric…

Computer-Based Learning01 natural sciencesPhysical ChemistryEducationMolecular dynamicsChemoinformaticHigh School/Introductory ChemistryNanotechnologySet (psychology)First-Year Undergraduate/GeneralSettore CHIM/02 - Chimica FisicaBasis (linear algebra)010405 organic chemistry05 social sciencesAggregate (data warehouse)Process (computing)050301 educationHigh School/Introductory Chemistry First-Year Undergraduate/General Second-Year Undergraduate Physical Chemistry Chemoinformatics Computer-Based Learning NanotechnologyGeneral Chemistry0104 chemical sciencesVisualizationSurface-area-to-volume ratioSecond-Year UndergraduateA priori and a posterioriBiological system0503 education
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Macroscopic equations of motion for two-phase flow in porous media

1998

The established macroscopic equations of motion for two phase immiscible displacement in porous media are known to be physically incomplete because they do not contain the surface tension and surface areas governing capillary phenomena. Therefore a more general system of macroscopic equations is derived here which incorporates the spatiotemporal variation of interfacial energies. These equations are based on the theory of mixtures in macroscopic continuum mechanics. They include wetting phenomena through surface tensions instead of the traditional use of capillary pressure functions. Relative permeabilities can be identified in this approach which exhibit a complex dependence on the state v…

Condensed Matter - Materials ScienceCapillary pressureMaterials scienceContinuum mechanicsMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesEquations of motionCapillary numberPhysics::Fluid DynamicsSurface tensionCapillary lengthClassical mechanicsCapillary surfaceDisplacement (fluid)Physical Review E
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Structure and transport properties of amorphous aluminium silicates: computer simulation studies

2005

The structure and transport properties of SiO2-Al2O3 melts containing 13 mol% and 47 mol% Al2O3 are investigated by means of large scale molecular dynamics computer simulations. The interactions between the atoms are modelled by a pair potential which is a modified version of the one proposed by Kramer et al. [J. Am. Chem. Soc. 64, 6435 (1991)]. Fully equilibrated melts in the temperature range 6000 K >= T > 2000 K are considered as well as glass configurations, that were obtained by a rapid quench from the lowest melt temperatures. Each system is simulated at two different densities in order to study the effect of pressure on structural and dynamic properties. We find that the Al ato…

Condensed Matter - Materials ScienceDiffusionAb initioMaterials Science (cond-mat.mtrl-sci)FOS: Physical scienceschemistry.chemical_elementThermodynamicsGeologyDisordered Systems and Neural Networks (cond-mat.dis-nn)Atmospheric temperature rangeCondensed Matter - Disordered Systems and Neural NetworksAmorphous solidMolecular dynamicschemistryGeochemistry and PetrologyAluminiumAluminosilicatePhysical chemistryPair potential
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Thermal Expansion in Small Metal Clusters and its Impact on the Electric Polarizability

2000

The thermal expansion coefficients of $\mathrm{Na}_{N}$ clusters with $8 \le N \le 40$ and $\mathrm{Al}_{7}$, $\mathrm{Al}_{13}^-$ and $\mathrm{Al}_{14}^-$ are obtained from {\it ab initio} Born-Oppenheimer LDA molecular dynamics. Thermal expansion of small metal clusters is considerably larger than that in the bulk and size-dependent. We demonstrate that the average static electric dipole polarizability of Na clusters depends linearly on the mean interatomic distance and only to a minor extent on the detailed ionic configuration when the overall shape of the electron density is enforced by electronic shell effects. The polarizability is thus a sensitive indicator for thermal expansion. We …

Condensed Matter - Materials ScienceElectron densityMaterials scienceAb initioShell (structure)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Physics and AstronomyIonic bondingThermal expansionDipoleMolecular dynamicsPolarizabilityPhysics::Atomic and Molecular ClustersPhysics - Atomic and Molecular ClustersAtomic physicsAtomic and Molecular Clusters (physics.atm-clus)
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Comparative classical and ab initio Molecular Dynamics study of molten and glassy germanium dioxide

2008

A Molecular Dynamics (MD) study of static and dynamic properties of molten and glassy germanium dioxide is presented. The interactions between the atoms are modelled by the classical pair potential proposed by Oeffner and Elliott (OE) [Oeffner R D and Elliott S R 1998, Phys. Rev. B, 58, 14791]. We compare our results to experiments and previous simulations. In addition, an ab initio method, the so-called Car-Parrinello Molecular Dynamics (CPMD), is applied to check the accuracy of the structural properties, as obtained by the classical MD simulations with the OE potential. As in a similar study for SiO2, the structure predicted by CPMD is only slightly softer than that resulting from the cl…

Condensed Matter - Materials ScienceGermanium dioxideCar–Parrinello molecular dynamicsMaterials scienceDynamic structure factorRelaxation (NMR)Ab initioMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesThermodynamicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter Physicschemistry.chemical_compoundMolecular dynamicsgermaniamolecular dynamics simulationchemistryAb initio quantum chemistry methodsGeneral Materials SciencePair potential
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Ab initio modelling of UN grain boundary interfaces

2012

The uranium mononitride (UN) is a material considered as a promising candidate for Generation-IV nuclear reactor fuels. Unfortunately, oxygen in air affects UN fuel performance and stability. Therefore, it is necessary to understand the mechanism of oxygen adsorption and further UN oxidation in the bulk and at surface. Recently, we performed a detailed study on oxygen interaction with UN surface using density functional theory (DFT) calculations. We were able to identify an atomistic mechanism of UN surface oxidation consisting of several important steps, starting with the oxygen molecule dissociation and finishing with oxygen atom incorporation into vacancies on the surface. However, in re…

Condensed Matter - Materials ScienceMaterials scienceAb initioMaterials Science (cond-mat.mtrl-sci)FOS: Physical scienceschemistry.chemical_elementThermodynamicsUraniumOxygenDissociation (chemistry)chemistryVacancy defectMoleculeDensity functional theoryGrain boundary
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Effective conductivity in a lattice model for binary disordered media with complex distributions of grain sizes

2003

Using numerical simulations and analytical approximations we study a modified version of the two-dimensional lattice model [R. Piasecki,phys. stat. sol. (b) 209, 403 (1998)] for random pH:(1-p)L systems consisting of grains of high (low) conductivity for H-(L-)phase, respectively. The modification reduces a spectrum of model bond conductivities to the two pure ones and the mixed one. The latter value explicitly depends on the average concentration gamma(p) of the H-component per model cell. The effective conductivity as a function of content p of the H-phase in such systems can be modelled making use of three model parameters that are sensitive to both grain size distributions, GSD(H) and G…

Condensed Matter - Materials ScienceMaterials scienceDispersityMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesThermodynamicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Function (mathematics)Condensed Matter - Disordered Systems and Neural NetworksConductivityCondensed Matter PhysicsMicrostructureMeasure (mathematics)Grain sizeElectronic Optical and Magnetic MaterialsPhase (matter)Lattice model (physics)physica status solidi (b)
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