Search results for "Simulation."

showing 10 items of 4779 documents

Hydrodynamic mechanisms of spinodal decomposition in confined colloid-polymer mixtures: A multiparticle collision dynamics study

2013

A multiscale model for a colloid-polymer mixture is developed. The colloids are described as point particles interacting with each other and with the polymers with strongly repulsive potentials, while polymers interact with each other with a softer potential. The fluid in the suspension is taken into account by the multiparticle collision dynamics method (MPC). Considering a slit geometry where the suspension is confined between parallel repulsive walls, different possibilities for the hydrodynamic boundary conditions (b.c.) at the walls (slip versus stick) are treated. Quenching experiments are considered, where the system volume is suddenly reduced (keeping the density of the solvent flui…

chemistry.chemical_classificationQuenchingPolymersSpinodal decompositiondigestive oral and skin physiologyTime evolutionGeneral Physics and AstronomySlip (materials science)PolymerMolecular Dynamics Simulationbody regionsCondensed Matter::Soft Condensed MatterColloidClassical mechanicschemistryChemical physicsddc:540HydrodynamicsColloidsBoundary value problemPhysical and Theoretical ChemistrySolubilityThe Journal of Chemical Physics
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No-Flow Temperature in Injection Molding Simulation

2010

Most injection molding simulation packages use the no-flow temperature (NFT) as a means of determining whether the polymer flows or is solid. The NFT is not well defined, and a standard method for measuring it does not exist. A sensitivity analysis of the filling stage has been carried out with two different packages [VISI Flow (Vero Software Limited, Gloucestershire, UK) and Moldflow (Autodesk, Inc., San Rafael, CA)] to estimate the influence of the NFT on the main processing parameters. The NFT has a large influence on the thickness of the frozen layer, but it does not appreciably affect the filling pressure. Because the NFT affects the frozen layer, an effect on the estimation of shrinka…

chemistry.chemical_classificationSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciSettore ING-IND/24 - Principi Di Ingegneria ChimicaMaterials sciencePolymers and Plasticsinjection moldingFlow (psychology)General ChemistryPolymerMolding (process)Surfaces Coatings and FilmsAmorphous solidCrystallinitySettore ING-IND/22 - Scienza E Tecnologia Dei MaterialichemistryMaterials ChemistryForensic engineeringprocessingSensitivity (control systems)simulationsWell-definedComposite materialShrinkage
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Theory and Simulation of Multiphase Polymer Systems

2010

The theory of multiphase polymer systems has a venerable tradition. The 'classical' theory of polymer demixing, the Flory-Huggins theory, was developed already in the forties of the last century. It is still the starting point for most current approaches -- be they improved theories for polymer (im)miscibility that take into account the microscopic structure of blends more accurately, or sophisticated field theories that allow to study inhomogeneous multicomponent systems of polymers with arbitrary architectures in arbitrary geometries. In contrast, simulations of multiphase polymer systems are relatively young. They are still limited by the fact that one must simulate a large number of lar…

chemistry.chemical_classificationStructure (mathematical logic)Condensed Matter - Mesoscale and Nanoscale PhysicsField (physics)Computer scienceFOS: Physical sciencesPolymerCondensed Matter - Soft Condensed MatterModeling and simulationMature stagechemistryMesoscale and Nanoscale Physics (cond-mat.mes-hall)Multicomponent systemsSoft Condensed Matter (cond-mat.soft)Polymer physicsPoint (geometry)Statistical physicsHandbook of Multiphase Polymer Systems
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Advanced descriptors for long-range noncovalent interactions between SARS-CoV-2 spikes and polymer surfaces.

2021

The recent pandemic triggered numerous societal efforts aimed to control and limit the spread of SARS-CoV-2. One of these aspects is related on how the virion interacts with inanimate surfaces, which might be the source of secondary infection. Although recent works address the adsorption of the spike protein on surfaces, there is no information concerning the long-range interactions between spike and surfaces, experimented by the virion when is dispersed in the droplet before its possible adsorption. Some descriptors, namely the interaction potentials per single protein and global potentials, were calculated in this work. These descriptors, evaluated for the closed and open states of the sp…

chemistry.chemical_classificationclosed and open structuresDensity Functional calculationsSecondary infectionIonic bondingFiltration and SeparationPolymerArticleAnalytical Chemistrychemistry.chemical_compoundAdsorptionPolylactic acidchemistryChemical physicsCovalent bondlong-range interaction potential energiesPolyethylene terephthalateNon-covalent interactionssurface affinity descriptorsSARS-CoV-2 spike proteinsMolecular Mechanics and Dynamics simulationsSeparation and purification technology
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SPATIAL DIVERSITY OF CHLORINE RESIDUAL IN A DRINKING WATER DISTRIBUTION SYSTEM: A STUDY CASE

2012

chlorine concentrationsimulationwater distribution systemSettore ICAR/01 - Idraulica
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GPU accelerated Monte Carlo simulations of lattice spin models

2011

We consider Monte Carlo simulations of classical spin models of statistical mechanics using the massively parallel architecture provided by graphics processing units (GPUs). We discuss simulations of models with discrete and continuous variables, and using an array of algorithms ranging from single-spin flip Metropolis updates over cluster algorithms to multicanonical and Wang-Landau techniques to judge the scope and limitations of GPU accelerated computation in this field. For most simulations discussed, we find significant speed-ups by two to three orders of magnitude as compared to single-threaded CPU implementations.

cluster algorithmsStatistical Mechanics (cond-mat.stat-mech)Computer scienceComputationNumerical analysisspin modelsMonte Carlo methodHigh Energy Physics - Lattice (hep-lat)FOS: Physical sciencesStatistical mechanicsGPU computingPhysics and Astronomy(all)Computational Physics (physics.comp-ph)generalized-ensemble simulationsMonte Carlo simulationsComputational scienceCUDAHigh Energy Physics - LatticeSpin modelGeneral-purpose computing on graphics processing unitsGraphicsPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Modelling the evolution of cognitive styles.

2019

Abstract Individuals consistently differ in behaviour, exhibiting so-called personalities. In many species, individuals differ also in their cognitive abilities. When personalities and cognitive abilities occur in distinct combinations, they can be described as ‘cognitive styles’. Both empirical and theoretical investigations produced contradicting or mixed results regarding the complex interplay between cognitive styles and environmental conditions. Here we use individual-based simulations to show that, under just slightly different environmental conditions, different cognitive styles exist and under a variety of conditions, can also co-exist. Co-existences are based on individual speciali…

cognitionkognitioMaleFood ChainoppiminenEvolutionälykkyysBehaviour syndromesexplorationeläinten käyttäytyminenCognitioncoping styleQH359-425AnimalsLearningComputer Simulationbehaviour syndromeslearningModels GeneticselviytyminenAnimal intelligenceBiological EvolutionCoping styleanimal intelligencePredatory BehavioreläimetMutationFemaleExplorationPersonalityResearch ArticleBMC evolutionary biology
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Complex composite structures with integrated piezoelectric transducers

2016

International audience; Nowadays, in different industrial fields as transport or aerospace, a research effort is conducted to reduce the structural weight. One of the most promising solutions is the use of composite structures due to their high stiffness, their low mass density and their low damping factor. At the same time, there is an intensification of the operational dynamic environment and an increase of durability requirements. These different expectations seem to be contradictory. One solution to manage these points is to design and manufacture smart composite structures with a fully distributed set of integrated piezoelec-tric transducers. These structures are able to modify their m…

composite structureComputer scienceComposite numberComputational MechanicsMechanical engineering[SPI.MECA.MSMECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Materials and structures in mechanics [physics.class-ph]02 engineering and technology01 natural sciences[SPI]Engineering Sciences [physics]Active vibration control0103 physical sciencesAerospace[PHYS.MECA.VIBR]Physics [physics]/Mechanics [physics]/Vibrations [physics.class-ph]010302 applied physicsbusiness.industryApplied Mathematicstransducers integration[PHYS.MECA]Physics [physics]/Mechanics [physics]material characterizationMechatronics021001 nanoscience & nanotechnologyPiezoelectricityDurabilityComputer Science ApplicationsComputational Mathematicscomplex structureModeling and SimulationDamping factorPMUT[PHYS.MECA] Physics [physics]/Mechanics [physics]0210 nano-technologybusiness
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Mechanical properties of carbon nanotube reinforced nanocomposites

2013

One way to take advantage of the marvelous properties of the carbon nanotubes consists in incorporating them into a matrix to build composite materials. The best candidates for this task are undoubtedly polymers thanks to their strength, toughness, low weight, and easy processing. A mixed model, numerical-analytical, is presented that allows one to predict the elastic properties of carbon nanotube (CNT)/polymer composites containing a random distribution of CNTs, while taking account of the curvature that they show when immersed in the polymer. A three-dimensional model, using a single CNT immersed in an infinite matrix, allows us to numerically evaluate the concentration tensor by evaluati…

composites Carbon nanotubes numerical simulations.Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine
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Computable majorants of the limit load in Hencky’s plasticity problems

2018

Abstract We propose a new method for analyzing the limit (safe) load of elastoplastic media governed by the Hencky plasticity law and deduce fully computable bounds of this load. The main idea of the method is based on a combination of kinematic approach and new estimates of the distance to the set of divergence free fields. We show that two sided bounds of the limit load are sharp and the computational efficiency of the method is confirmed by numerical experiments.

computable boundsMathematical optimizationpenalizationta111010103 numerical & computational mathematicsKinematicslimit loadPlasticitydivergence free fields01 natural sciences010101 applied mathematicsSet (abstract data type)Computational MathematicsComputational Theory and MathematicsModeling and SimulationApplied mathematicsLimit loadLimit (mathematics)Hencky’s plasticity0101 mathematicsDivergence (statistics)MathematicsComputers & Mathematics with Applications
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