Search results for " Computational"

showing 10 items of 661 documents

Application of Genetic Algorithm on Parameter Optimization of Three Vehicle Crash Scenarios

2017

Abstract This paper focuses on the development of mathematical models for vehicle frontal crashes. The models under consideration are threefold: a vehicle into barrier, vehicle-occupant and vehicle to vehicle frontal crashes. The first model is represented as a simple spring-mass-damper and the second case consists of a double-spring-mass-damper system, whereby the front mass and the rear mass represent the vehicle chassis and the occupant, respectively. The third model consists of a collision of two vehicles represented by two masses moving in opposite directions. The springs and dampers in the models are nonlinear piecewise functions of displacements and velocities respectively. More spec…

ChassisComputer scienceModeling010103 numerical & computational mathematics02 engineering and technologyCollision01 natural sciencesCrash testfrontal crashvehicle-occupantDamperNonlinear system020303 mechanical engineering & transports0203 mechanical engineeringControl theoryControl and Systems EngineeringGenetic algorithmparameters estimationgenetic algorithm0101 mathematicsSimulationfrontal crash; genetic algorithm; Modeling; parameters estimation; vehicle-occupant; Control and Systems EngineeringMotor vehicle crash
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Approximate Osher–Solomon schemes for hyperbolic systems

2016

This paper is concerned with a new kind of Riemann solvers for hyperbolic systems, which can be applied both in the conservative and nonconservative cases. In particular, the proposed schemes constitute a simple version of the classical Osher-Solomon Riemann solver, and extend in some sense the schemes proposed in Dumbser and Toro (2011) 19,20. The viscosity matrix of the numerical flux is constructed as a linear combination of functional evaluations of the Jacobian of the flux at several quadrature points. Some families of functions have been proposed to this end: Chebyshev polynomials and rational-type functions. Our schemes have been tested with different initial value Riemann problems f…

Chebyshev polynomialsApplied MathematicsNumerical analysisMathematical analysis010103 numerical & computational mathematics01 natural sciencesRiemann solverEuler equations010101 applied mathematicsComputational Mathematicssymbols.namesakeRiemann hypothesisRiemann problemJacobian matrix and determinantsymbols0101 mathematicsShallow water equationsMathematicsApplied Mathematics and Computation
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Inverse simulated annealing for the determination of amorphous structures

2013

We present a new and efficient optimization method to determine the structure of disordered systems in agreement with available experimental data. Our approach permits the application of accurate electronic structure calculations within the structure optimization. The new technique is demonstrated within density functional theory by the calculation of a model of amorphous carbon.

Chemical Physics (physics.chem-ph)Condensed Matter - Materials ScienceMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Structure (category theory)Experimental dataInverseMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesElectronic structureDisordered Systems and Neural Networks (cond-mat.dis-nn)Computational Physics (physics.comp-ph)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsMolecular physicsElectronic Optical and Magnetic MaterialsAmorphous solidAmorphous carbonPhysics - Chemical PhysicsSimulated annealingDensity functional theoryPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Nucleation mechanism for the direct graphite-to-diamond phase transition

2011

Graphite and diamond have comparable free energies, yet forming diamond from graphite is far from easy. In the absence of a catalyst, pressures that are significantly higher than the equilibrium coexistence pressures are required to induce the graphite-to-diamond transition. Furthermore, the formation of the metastable hexagonal polymorph of diamond instead of the more stable cubic diamond is favored at lower temperatures. The concerted mechanism suggested in previous theoretical studies cannot explain these phenomena. Using an ab initio quality neural-network potential we performed a large-scale study of the graphite-to-diamond transition assuming that it occurs via nucleation. The nucleat…

Chemical Physics (physics.chem-ph)Condensed Matter - Materials SciencePhase transitionMaterials scienceConcerted reactionMechanical EngineeringNucleationAb initioDiamondMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeneral Chemistryengineering.materialComputational Physics (physics.comp-ph)Condensed Matter PhysicsAmorphous carbonMechanics of MaterialsChemical physicsPhysics - Chemical PhysicsMetastabilityengineeringGeneral Materials ScienceGraphitePhysics - Computational Physics
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Ab-Initio Molecular Dynamics

2012

Computer simulation methods, such as Monte Carlo or Molecular Dynamics, are very powerful computational techniques that provide detailed and essentially exact information on classical many-body problems. With the advent of ab-initio molecular dynamics, where the forces are computed on-the-fly by accurate electronic structure calculations, the scope of either method has been greatly extended. This new approach, which unifies Newton's and Schr\"odinger's equations, allows for complex simulations without relying on any adjustable parameter. This review is intended to outline the basic principles as well as a survey of the field. Beginning with the derivation of Born-Oppenheimer molecular dynam…

Chemical Physics (physics.chem-ph)Condensed Matter - Materials ScienceStatistical Mechanics (cond-mat.stat-mech)Physics - Chemical PhysicsMaterials Science (cond-mat.mtrl-sci)Soft Condensed Matter (cond-mat.soft)FOS: Physical sciencesComputational Physics (physics.comp-ph)Condensed Matter - Soft Condensed MatterPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Nanoscale ear drum: graphene based nanoscale sensors.

2012

The difficulty in determining the mass of a sample increases as its size diminishes. At the nanoscale, there are no direct methods for resolving the mass of single molecules or nanoparticles and so more sophisticated approaches based on electromechanical phenomena are required. More importantly, one demands that such nanoelectromechanical techniques could provide not only information about the mass of the target molecules but also about their geometrical properties. In this sense, we report a theoretical study that illustrates in detail how graphene membranes can operate as nanoelectromechanical mass-sensor devices. Wide graphene sheets were exposed to different types and amounts of molecul…

Chemical Physics (physics.chem-ph)FOS: Computer and information sciencesCondensed Matter - Materials ScienceMaterials scienceDopantGrapheneDopingDetectorNanoparticleMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesNanotechnologylaw.inventionComputational Engineering Finance and Science (cs.CE)Molecular dynamicslawDirect methodsPhysics - Chemical PhysicsGeneral Materials ScienceComputer Science - Computational Engineering Finance and ScienceNanoscopic scaleNanoscale
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Optimal calculation of the pair correlation function for an orthorhombic system

2012

We present a new computational method to calculate arbitrary pair correlation functions of an orthorombic system in the most efficient way. The algorithm is demonstrated by the calculation of the radial distribution function of shock compressed liquid hydrogen.

Chemical Physics (physics.chem-ph)HydrogenCompressed fluidMathematical analysisFOS: Physical scienceschemistry.chemical_elementGeometryComputational Physics (physics.comp-ph)Radial distribution functionShock (mechanics)chemistryPhysics - Chemical PhysicsPair correlationOrthorhombic crystal systemPhysics - Computational PhysicsMathematicsPhysical Review E
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Eliminating Artificial Boundary Conditions in Time-Dependent Density Functional Theory Using Fourier Contour Deformation

2023

We present an efficient method for propagating the time-dependent Kohn-Sham equations in free space, based on the recently introduced Fourier contour deformation (FCD) approach. For potentials which are constant outside a bounded domain, FCD yields a high-order accurate numerical solution of the time-dependent Schrödinger equation directly in free space, without the need for artificial boundary conditions. Of the many existing artificial boundary condition schemes, FCD is most similar to an exact nonlocal transparent boundary condition, but it works directly on Cartesian grids in any dimension, and runs on top of the fast Fourier transform rather than fast algorithms for the application of …

Chemical Physics (physics.chem-ph)Physics - Chemical PhysicsFOS: MathematicsFOS: Physical sciencesTDDFT Open boundariesMathematics - Numerical AnalysisNumerical Analysis (math.NA)Computational Physics (physics.comp-ph)Physical and Theoretical ChemistryPhysics - Computational PhysicsSettore FIS/03 - Fisica Della MateriaComputer Science Applications
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On fermionic shadow wave functions for strongly correlated multi-reference systems based on a single Slater determinant

2015

We demonstrate that extending the Shadow Wave Function to fermionic systems facilitates to accurately calculate strongly-correlated multi-reference systems such as the stretched H2 molecule. This development considerably extends the scope of electronic structure calculations and enables to efficiently recover the static correlation energy using just a single Slater determinant.

Chemical Physics (physics.chem-ph)PhysicsQuantum PhysicsNuclear TheoryStrongly Correlated Electrons (cond-mat.str-el)FOS: Physical sciencesGeneral Physics and AstronomyComputational Physics (physics.comp-ph)Nuclear Theory (nucl-th)Condensed Matter - Strongly Correlated ElectronsPhysics - Chemical PhysicsShadowSlater determinantDevelopment (differential geometry)Statistical physicsQuantum Physics (quant-ph)Wave functionPhysics - Computational PhysicsNuclear theoryEnergy (signal processing)EPL (Europhysics Letters)
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Resonating valence bond quantum Monte Carlo: Application to the ozone molecule

2015

We study the potential energy surface of the ozone molecule by means of Quantum Monte Carlo simulations based on the resonating valence bond concept. The trial wave function consists of an antisymmetrized geminal power arranged in a single-determinant that is multiplied by a Jastrow correlation factor. Whereas the determinantal part incorporates static correlation effects, the augmented real-space correlation factor accounts for the dynamics electron correlation. The accuracy of this approach is demonstrated by computing the potential energy surface for the ozone molecule in three vibrational states: symmetric, asymmetric and scissoring. We find that the employed wave function provides a de…

Chemical Physics (physics.chem-ph)PhysicsQuantum PhysicsStrongly Correlated Electrons (cond-mat.str-el)Electronic correlationGeminalQuantum Monte CarloFOS: Physical sciencesComputational Physics (physics.comp-ph)Condensed Matter PhysicsBond-dissociation energyMolecular physicsAtomic and Molecular Physics and OpticsCondensed Matter - Strongly Correlated ElectronsPhysics - Chemical PhysicsScissoringPotential energy surfaceValence bond theoryPhysics::Chemical PhysicsPhysical and Theoretical ChemistryQuantum Physics (quant-ph)Wave functionPhysics - Computational PhysicsInternational Journal of Quantum Chemistry
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