Search results for "Modeling and simulation"

showing 10 items of 1561 documents

A fractional-order model for aging materials: An application to concrete

2018

Abstract In this paper, the hereditariness of aging materials is modeled within the framework of fractional calculus of variable order. A relevant application is made for the long-term behavior of concrete, for which the creep function is evaluated with the aid of Model B3. The corresponding relaxation function is derived through the Volterra iterated kernels and a comparison with the numerically-obtained relaxation function of Model B3 is also reported. The proposed fractional hereditary aging model (FHAM) for concretes leads to a relaxation function that fully agrees with the well-established Model B3. Furthermore, the FHAM takes full advantage of the formalism of fractional-order calculu…

Concrete creep020101 civil engineering02 engineering and technologyCondensed Matter Physic0201 civil engineeringRILEM database0203 mechanical engineeringApplied mathematicsGeneral Materials ScienceMechanics of MaterialVariable-order fractional calculuMathematicsMechanical EngineeringApplied MathematicsFractional hereditary aging materialCondensed Matter PhysicsFractional calculusFormalism (philosophy of mathematics)020303 mechanical engineering & transportsFractional aging concreteCreepMechanics of MaterialsIterated functionConcrete relaxationModeling and SimulationMaterials Science (all)Settore ICAR/08 - Scienza Delle Costruzioni
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libvdwxc: A library for exchange-correlation functionals in the vdW-DF family

2017

We present libvdwxc, a general library for evaluating the energy and potential for the family of vdW-DF exchange--correlation functionals. libvdwxc provides an efficient implementation of the vdW-DF method and can be interfaced with various general-purpose DFT codes. Currently, the GPAW and Octopus codes implement interfaces to libvdwxc. The present implementation emphasizes scalability and parallel performance, and thereby enables \textit{ab initio} calculations of nanometer-scale complexes. The numerical accuracy is benchmarked on the S22 test set whereas parallel performance is benchmarked on ligand-protected gold nanoparticles ($\text{Au}_{144}(\text{SC}_{11}\text{NH}_{25})_{60}$) up to…

Condensed Matter - Materials ScienceMaterials scienceAb initioMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciences02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter Physics01 natural sciencesMolecular physicsComputer Science ApplicationsMechanics of MaterialsModeling and SimulationTest set0103 physical sciencesoctopus (software)General Materials SciencevdW-DF family010306 general physics0210 nano-technologyEnergy (signal processing)libvdwxc
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Speeding up of microstructure reconstruction: I. Application to labyrinth patterns

2011

Recently, entropic descriptors based the Monte Carlo hybrid reconstruction of the microstructure of a binary/greyscale pattern has been proposed (Piasecki 2011 Proc. R. Soc. A 467 806). We try to speed up this method applied in this instance to the reconstruction of a binary labyrinth target. Instead of a random configuration, we propose to start with a suitable synthetic pattern created by cellular automaton. The occurrence of the characteristic attributes of the target is the key factor for reducing the computational cost that can be measured by the total number of MC steps required. For the same set of basic parameters, we investigated the following simulation scenarios: the biased/rando…

Condensed Matter - Materials ScienceSpeedupMaterials scienceSeries (mathematics)Statistical Mechanics (cond-mat.stat-mech)Monte Carlo methodBinary numberMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesComputational Physics (physics.comp-ph)Condensed Matter PhysicsGrayscaleCellular automatonComputer Science ApplicationsSet (abstract data type)Mechanics of MaterialsModeling and SimulationGeneral Materials ScienceCompleteness (statistics)AlgorithmPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Parallelization strategies for density matrix renormalization group algorithms on shared-memory systems

2003

Shared-memory parallelization (SMP) strategies for density matrix renormalization group (DMRG) algorithms enable the treatment of complex systems in solid state physics. We present two different approaches by which parallelization of the standard DMRG algorithm can be accomplished in an efficient way. The methods are illustrated with DMRG calculations of the two-dimensional Hubbard model and the one-dimensional Holstein-Hubbard model on contemporary SMP architectures. The parallelized code shows good scalability up to at least eight processors and allows us to solve problems which exceed the capability of sequential DMRG calculations.

Condensed Matter::Quantum GasesDensity matrixNumerical AnalysisStrongly Correlated Electrons (cond-mat.str-el)Physics and Astronomy (miscellaneous)Hubbard modelApplied MathematicsDensity matrix renormalization groupComplex systemFOS: Physical sciencesParallel computingRenormalization groupComputer Science ApplicationsCondensed Matter - Strongly Correlated ElectronsComputational MathematicsShared memoryModeling and SimulationScalabilityCode (cryptography)Condensed Matter::Strongly Correlated ElectronsAlgorithmMathematicsJournal of Computational Physics
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Three-mode two-boson Jaynes–Cummings model in trapped ions

2006

In this paper, we analyse a two-boson three-mode Jaynes–Cummings model which can be implemented in the context of trapped ions. The symmetries of the Hamiltonian are brought to light and analysed in detail in order to solve the eigenvalue problem. The calculation of the time evolution operator shows the possibility of realizing interesting applications, such as the generation of nonclassical states.

Condensed Matter::Quantum GasesStatistics and ProbabilityPhysicsSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciJaynes–Cummings modelsuperposition (mathematics)modesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsQuantum PhysicsSettore FIS/03 - Fisica Della MateriaIonsymbols.namesakeharmonic oscillatorModeling and SimulationQuantum mechanicsQuantum electrodynamicsHomogeneous spacesymbolsHamiltonian (quantum mechanics)Mathematical PhysicsEigenvalues and eigenvectorsBosonJournal of Physics A: Mathematical and Theoretical
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(Regular) pseudo-bosons versus bosons

2012

We discuss in which sense the so-called {\em regular pseudo-bosons}, recently introduced by Trifonov and analyzed in some details by the author, are related to ordinary bosons. We repeat the same analysis also for {\em pseudo-bosons}, and we analyze the role played by certain intertwining operators, which may be bounded or not.

Condensed Matter::Quantum GasesStatistics and ProbabilityQuantum PhysicsHigh Energy Physics::PhenomenologyFOS: Physical sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Theoretical physicsModeling and SimulationBounded functionpseudo-bosonsQuantum Physics (quant-ph)Settore MAT/07 - Fisica MatematicaMathematical PhysicsBosonMathematics
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SPATIAL MULTIFRACTALITY OF ELECTRONIC STATES AND THE METAL-INSULATOR TRANSITION IN DISORDERED SYSTEMS

1993

For the investigation of the spatial behavior of electronic wave functions in disordered systems, we employ the Anderson model of localization. The eigenstates of the corresponding Hamiltonian are calculated numerically by means of the Lanczos algorithm and are analyzed with respect to their spatial multifractal properties. We find that the wave functions show spatial multifractality for all parameter cases not too far away from the metal-insulator transition (MIT) which separates localized from extended states in this model. Exactly at the MIT, multifractality is expected to exist on all length scales larger than the lattice spacing. It is found that the corresponding singularity spectrum…

Condensed matter physicsApplied MathematicsLanczos algorithmMultifractal systemCondensed Matter::Disordered Systems and Neural Networkssymbols.namesakeModeling and SimulationsymbolsProbability distributionCondensed Matter::Strongly Correlated ElectronsGeometry and TopologyStatistical physicsMetal–insulator transitionSingularity spectrumWave functionHamiltonian (quantum mechanics)Anderson impurity modelMathematicsFractals
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Common fixed points in cone metric spaces for CJM-pairs

2011

Abstract In this paper we introduce some contractive conditions of Meir–Keeler type for two mappings, called f - M K -pair mappings and f - C J M -pair (from Ciric, Jachymski, and Matkowski) mappings, in the framework of regular cone metric spaces and we prove theorems which guarantee the existence and uniqueness of common fixed points. We give also a fixed point result for a multivalued mapping that satisfies a contractive condition of Meir–Keeler type. These results extend and generalize some recent results from the literature. To conclude the paper, we extend our main result to non-regular cone metric spaces by using the scalarization method of Du.

Cone metric spaces CJM-pairs Common fixed points Common coincidence points.Injective metric spaceMathematical analysisMathematics::General TopologyFixed pointComputer Science ApplicationsIntrinsic metricConvex metric spaceCombinatoricsMetric spaceCone (topology)Settore MAT/05 - Analisi MatematicaModeling and SimulationUniquenessCoincidence pointMathematicsMathematical and Computer Modelling
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Decipher the mechanisms of protein conformational changes induced by nucleotide binding through free-energy landscape analysis: ATP binding to Hsp70.

2013

ATP regulates the function of many proteins in the cell by transducing its binding and hydrolysis energies into protein conformational changes by mechanisms which are challenging to identify at the atomic scale. Based on molecular dynamics (MD) simulations, a method is proposed to analyze the structural changes induced by ATP binding to a protein by computing the effective free-energy landscape (FEL) of a subset of its coordinates along its amino-acid sequence. The method is applied to characterize the mechanism by which the binding of ATP to the nucleotide-binding domain (NBD) of Hsp70 propagates a signal to its substrate-binding domain (SBD). Unbiased MD simulations were performed for Hsp…

Conformational changeProtein ConformationAllosteric regulationPlasma protein bindingMolecular Dynamics SimulationCellular and Molecular NeuroscienceProtein structureAdenosine TriphosphateGeneticsHSP70 Heat-Shock ProteinsMolecular Biologylcsh:QH301-705.5Nuclear Magnetic Resonance BiomolecularEcology Evolution Behavior and SystematicsEcologybiologyChemistryEscherichia coli ProteinsEnergy landscapeComputational Theory and MathematicsBiochemistrylcsh:Biology (General)Docking (molecular)Modeling and SimulationChaperone (protein)Biophysicsbiology.proteinBinding domainProtein BindingResearch ArticlePLoS computational biology
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Approximate Lax–Wendroff discontinuous Galerkin methods for hyperbolic conservation laws

2017

Abstract The Lax–Wendroff time discretization is an alternative method to the popular total variation diminishing Runge–Kutta time discretization of discontinuous Galerkin schemes for the numerical solution of hyperbolic conservation laws. The resulting fully discrete schemes are known as LWDG and RKDG methods, respectively. Although LWDG methods are in general more compact and efficient than RKDG methods of comparable order of accuracy, the formulation of LWDG methods involves the successive computation of exact flux derivatives. This procedure allows one to construct schemes of arbitrary formal order of accuracy in space and time. A new approximation procedure avoids the computation of ex…

Conservation lawLax–Wendroff theoremDiscretizationLax–Wendroff methodMathematical analysisOrder of accuracyCPU time010103 numerical & computational mathematics01 natural sciences010101 applied mathematicsComputational MathematicsComputational Theory and MathematicsDiscontinuous Galerkin methodModeling and SimulationTotal variation diminishing0101 mathematicsMathematicsComputers & Mathematics with Applications
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