Search results for " Computational"

showing 10 items of 661 documents

Classical nucleation theory for the crystallization kinetics in sheared liquids

2019

While statistical mechanics provides a comprehensive framework for the understanding of equilibrium phase behavior, predicting the kinetics of phase transformations remains a challenge. Classical nucleation theory (CNT) provides a thermodynamic framework to relate the nucleation rate to thermodynamic quantities such as pressure difference and interfacial tension through the nucleation work necessary to spawn critical nuclei. However, it remains unclear whether such an approach can be extended to the crystallization of driven melts that are subjected to mechanical stresses and flows. Here, we demonstrate numerically for hard spheres that the impact of simple shear on the crystallization rate…

Materials scienceStatistical Mechanics (cond-mat.stat-mech)NucleationFOS: Physical sciencesThermodynamicsHard spheresStatistical mechanicsComputational Physics (physics.comp-ph)law.inventionPhysics::Fluid DynamicsShear modulusSurface tensionSimple shearlawClassical nucleation theoryCrystallizationPhysics - Computational PhysicsCondensed Matter - Statistical MechanicsPhysical Review E
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Structural and Kinetic DFT Characterization of Materials to Rationalize Catalytic Performance

2009

This review shortly discusses recent results obtained by the application of density functional theory for the calculations of the adsorption and diffusion properties of small molecules and their reactivity on heterogenous catalytic systems, in the ambit of the Nanocat project. Particular focus has been devoted to palladium catalysts, either in atomic or small cluster form. Some protocols have been tested to obtain efficient ways able to treat the electronic and geometric influence of supports like zeolites and carbon nanotubes on the catalytic properties of palladium. The hydroisomerization of cis-but-2-ene is discussed as model reaction on supported and unsupported Pd clusters. Some prelim…

Materials sciencechemistry.chemical_elementGeneral ChemistryCarbon nanotubeCatalysisCatalysisCharacterization (materials science)law.inventionAdsorptionchemistryChemical engineeringlawCluster (physics)Organic chemistryReactivity (chemistry)Density functional theoryDFT catalysis computational chemistryPalladiumTopics in Catalysis
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Communication: anion-specific response of mesoscopic organization in ionic liquids upon pressurization

2018

One of the outstanding features of ionic liquids is their inherently hierarchical structural organization at mesoscopic spatial scales. Recently experimental and computational studies showed the fading of this feature when pressurising. Here we use simulations to show that this effect is not general: appropriate anion choice leads to an obstinate resistance against pressurization. Published by AIP Publishing.

Materials scienceneutron x-raycomputational studiesGeneral Physics and Astronomy010402 general chemistrystructural scale01 natural sciencesIonionic liquidsPhysics and Astronomy (all)chemistry.chemical_compoundCabin pressurizationSettore CHIM/02Mesoscopic spatial scalesionic liquidspressurisationmolecular dynamics0103 physical sciencesFadingPhysical and Theoretical Chemistrystructural organization; ionic liquids; structural scale; computational studies; mesoscopic organizationMesoscopic physicsStructural organization010304 chemical physicsstructural organization0104 chemical scienceschemistryChemical physicsFeature (computer vision)mesoscopic organizationIonic liquid
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A general framework for a class of non-linear approximations with applications to image restoration

2018

Este artículo se encuentra disponible en la página web de la revista en la siguiente URL: https://www.sciencedirect.com/science/article/abs/pii/S0377042717301188 Este es el pre-print del siguiente artículo: Candela, V., Falcó, A. & Romero, PD. (2018). A general framework for a class of non-linear approximations with applications to image restoration. Journal of Computational and Applied Mathematics, vol. 330 (mar.), pp. 982-994, que se ha publicado de forma definitiva en https://doi.org/10.1016/j.cam.2017.03.008 This is the pre-peer reviewed version of the following article: Candela, V., Falcó, A. & Romero, PD. (2018). A general framework for a class of non-linear approximations with applic…

Mathematical optimization010103 numerical & computational mathematics01 natural sciencesProjection (linear algebra)ConvexityImage (mathematics)symbols.namesakeProgramming (Mathematics) in Works of art.Convergence (routing)Applied mathematics0101 mathematicsProgramación (Matemáticas) - Aplicaciones en Obras de arte.Art - Conservation and restoration.Image restorationMathematicsApplied MathematicsHilbert space.Hilbert spaceAlgoritmos computacionales.Hilbert Espacio de.Linear subspaceComputer algorithms.010101 applied mathematicsComputational MathematicsObras de arte - Restauración.symbolsDeconvolutionObras de arte - Conservación.Journal of Computational and Applied Mathematics
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Functional A Posteriori Error Estimates for Time-Periodic Parabolic Optimal Control Problems

2015

This article is devoted to the a posteriori error analysis of multiharmonic finite element approximations to distributed optimal control problems with time-periodic state equations of parabolic type. We derive a posteriori estimates of the functional type, which are easily computable and provide guaranteed upper bounds for the state and co-state errors as well as for the cost functional. These theoretical results are confirmed by several numerical tests that show high efficiency of the a posteriori error bounds. peerReviewed

Mathematical optimizationControl and OptimizationMathematicsofComputing_NUMERICALANALYSISFinite element approximations010103 numerical & computational mathematicsType (model theory)01 natural sciencesparabolic time-periodic optimal control problemsError analysisFOS: MathematicsApplied mathematicsMathematics - Numerical AnalysisNumerical testsfunctional a posteriori error estimates0101 mathematicsMathematics - Optimization and Control49N20 35Q61 65M60 65F08Mathematicsta113Time periodicta111Numerical Analysis (math.NA)State (functional analysis)Optimal controlComputer Science Applications010101 applied mathematicsOptimization and Control (math.OC)multiharmonic finite element methodsSignal ProcessingA priori and a posterioriAnalysisNumerical Functional Analysis and Optimization
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Error Estimates for a Class of Elliptic Optimal Control Problems

2016

In this article, functional type a posteriori error estimates are presented for a certain class of optimal control problems with elliptic partial differential equation constraints. It is assumed that in the cost functional the state is measured in terms of the energy norm generated by the state equation. The functional a posteriori error estimates developed by Repin in the late 1990s are applied to estimate the cost function value from both sides without requiring the exact solution of the state equation. Moreover, a lower bound for the minimal cost functional value is derived. A meaningful error quantity coinciding with the gap between the cost functional values of an arbitrary admissible …

Mathematical optimizationControl and OptimizationNumerical analysis010102 general mathematicsta111010103 numerical & computational mathematicsOptimal control01 natural sciencesUpper and lower boundsComputer Science ApplicationsExact solutions in general relativityElliptic partial differential equationerror estimatesNorm (mathematics)Signal ProcessingA priori and a posterioriNumerical testselliptic optimal control problems0101 mathematicsAnalysisMathematics
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On the Accuracy and Efficiency of Transient Spectral Element Models for Seismic Wave Problems

2016

This study concentrates on transient multiphysical wave problems for simulating seismic waves. The presented models cover the coupling between elastic wave equations in solid structures and acoustic wave equations in fluids. We focus especially on the accuracy and efficiency of the numerical solution based on higher-order discretizations. The spatial discretization is performed by the spectral element method. For time discretization we compare three different schemes. The efficiency of the higher-order time discretization schemes depends on several factors which we discuss by presenting numerical experiments with the fourth-order Runge-Kutta and the fourth-order Adams-Bashforth time-steppin…

Mathematical optimizationDiscretizationArticle Subjectseismic wavesQC1-999Spectral element methodGeneral Physics and Astronomy010103 numerical & computational mathematics010502 geochemistry & geophysics01 natural sciencesSeismic wavetransient spectral element models0101 mathematics0105 earth and related environmental sciencesMathematicsta113ta114Computer simulationSynthetic seismogramApplied MathematicsPhysicsta111Mathematical analysisAcoustic waveWave equationseismic wave problemsTransient (oscillation)Advances in Mathematical Physics
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Numerical solution of a multi-class model for batch settling in water resource recovery facilities

2017

In Torfs et al. (2017) a new unified framework to model settling tanks in water resource recovery facilities was proposed providing a set of partial differential equations (PDEs) modelling different settling unit processes in wastewater treatment such as primary and secondary settling tanks (PSTs and SSTs). The extension to a multi-class framework to deal with the distributed properties of the settling particles leads to a system of non-linear hyperbolic-parabolic PDEs whose solutions may contain very sharp transitions. This necessitates the use of a consistent and robust numerical method to obtain well-resolved and reliable approximations to the PDE solutions. The use of implicit–explicit …

Mathematical optimizationPartial differential equationDiscretizationApplied MathematicsReliability (computer networking)Numerical analysisRelaxation (iterative method)010103 numerical & computational mathematics01 natural sciences6. Clean water010101 applied mathematicsSet (abstract data type)SettlingModeling and Simulation0101 mathematicsConvection–diffusion equationMathematicsApplied Mathematical Modelling
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Representation of capacity drop at a road merge via point constraints in a first order traffic model

2018

We reproduce the capacity drop phenomenon at a road merge by implementing a non-local point constraint at the junction in a first order traffic model. We call capacity drop the situation in which the outflow through the junction is lower than the receiving capacity of the outgoing road, as too many vehicles trying to access the junction from the incoming roads hinder each other. In this paper, we first construct an enhanced version of the locally constrained model introduced by Haut et al. (Proceedings 16th IFAC World Congress. Prague, Czech Republic 229 (2005) TuM01TP/3), then we propose its counterpart featuring a non-local constraint and finally we compare numerically the two models by c…

Mathematical optimizationTraffic model010103 numerical & computational mathematics01 natural sciencesScalar conservation law; LWR model; traffic flow on networks; point constraint on the flux; finite volumes schemesNOfinite volumes schemes[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]point constraint on the flux0101 mathematics[MATH]Mathematics [math]Scalar conservation lawMathematicsLWR modelNumerical AnalysisApplied MathematicsFirst order010101 applied mathematicsFinite volumes schemes; LWR model; Point constraint on the flux; Scalar conservation law; Traffic flow on networksComputational MathematicsModeling and Simulationtraffic flow on networksOutflowfinite volumes schemeMerge (version control)Analysis
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Corners in non-equiregular sub-Riemannian manifolds

2014

We prove that in a class of non-equiregular sub-Riemannian manifolds corners are not length minimizing. This extends the results of (G.P. Leonardi and R. Monti, Geom. Funct. Anal. 18 (2008) 552-582). As an application of our main result we complete and simplify the analysis in (R. Monti, Ann. Mat. Pura Appl. (2013)), showing that in a 4-dimensional sub-Riemannian structure suggested by Agrachev and Gauthier all length-minimizing curves are smooth. Mathematics Subject Classification. 53C17, 49K21, 49J15.

Mathematics - Differential GeometryPure mathematicsClass (set theory)Control and Optimizationregularity of geodesicsStructure (category theory)Mathematics - Analysis of PDEsMathematics - Metric GeometryFOS: MathematicsGEOMSub-Riemannian geometry regularity of geodesics cornersMathematics - Optimization and ControlMathematicsta111Computational mathematicsMetric Geometry (math.MG)cornerssub-riemannian geometryComputational MathematicsCorners; Regularity of geodesics; Sub-Riemannian geometry; Control and Systems Engineering; Control and Optimization; Computational MathematicsDifferential Geometry (math.DG)Mathematics Subject ClassificationOptimization and Control (math.OC)Control and Systems EngineeringMathematics::Differential GeometryAnalysis of PDEs (math.AP)
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