Search results for "Monte carlo method"

showing 10 items of 1234 documents

Single-chain conformations in symmetric binary polymer blends: Quantitative comparison between self-consistent field calculations and Monte Carlo sim…

1998

Single-chain properties in a symmetric binary polymer blend are studied by self-consistent field calculations and Monte Carlo simulations. Within the self-consistent field scheme, the statistical mechanics of a cluster of neighboring polymers is solved. Interactions among the polymers of a cluster and composition fluctuations within a cluster are incorporated exactly, a mean field approximation is invoked for intercluster interactions and long-range fluctuations. The results are compared to large scale Monte Carlo simulations for a broad range of chain lengths. While we find nearly quantitative agreement for single chain propertiese.g., the reduction of the chain dimensions of the minority …

Polymers and PlasticsChemistryEntropy (statistical thermodynamics)Organic ChemistryIntermolecular forceMonte Carlo methodStatistical mechanicsMolecular physicsInorganic ChemistryMean field theoryMaterials ChemistryRadius of gyrationPolymer blendStatistical physicsPhase diagram
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New quantum Monte Carlo formulation for modeling trans-polyacetylene properties: specific heat calculation

2004

Abstract In this paper we propose a new hybridization scheme for numerical simulation based on the determinantal quantum Monte Carlo and analytical model to treat the vibration mode of one-dimensional trans -polyacetylene chain. We use both of the extended Hubbard model (EHM) and Peierls–Hubbard model to compute the specific heat for different assumptions. For both the two models, our results indicate that the behavior of the specific heat is characterized by a maximum. We also introduce the effect of dimerization through Peierls–Hubbard model. In this case it is found that the specific heat magnitude is slightly more important when compared to specific heat value found with the EHM case. M…

Polymers and PlasticsComputer simulationHubbard modelChemistryQuantum Monte CarloOrganic ChemistryMonte Carlo methodSize consistency and size extensivityMaterials ChemistryCondensed Matter::Strongly Correlated ElectronsSolitonStatistical physicsGround stateQuantum fluctuationPolymer
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Quantum Monte-Carlo calculation of correlation functions of undistorted, cis-distorted and trans-distorted polyacene

2003

Abstract We have studied polyacene within the Hubbard model to explore the effect of electrons correlations on the bond–bond correlation as well as spin–spin correlation functions. We employ the determinantal quantum Monte-Carlo to resolve the microscopic Hamiltonian of this system which involves a nearest-neighbor electron hopping matrix element t , an on-site Coulomb repulsion U . The objective of this study is to understand the effect of electron–electron (e–e) correlations on the structural instability in polyacene. We find strong similarities between polyacene and polyacetylene. The system shows no tendency to destroy the imposed bond-alternation pattern. The spin–spin correlations sho…

Polymers and PlasticsHubbard modelCondensed matter physicsElectronic correlationChemistryQuantum Monte CarloOrganic ChemistryMonte Carlo methodElectronsymbols.namesakePolyacetylenechemistry.chemical_compoundQuantum mechanicsMaterials ChemistrysymbolsCondensed Matter::Strongly Correlated ElectronsHamiltonian (quantum mechanics)QuantumPolymer
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A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains.

2016

We determine knotting probabilities and typical sizes of knots in double-stranded DNA for chains of up to half a million base pairs with computer simulations of a coarse-grained bead-stick model: Single trefoil knots and composite knots which include at least one trefoil as a prime factor are shown to be common in DNA chains exceeding 250,000 base pairs, assuming physiologically relevant salt conditions. The analysis is motivated by the emergence of DNA nanopore sequencing technology, as knots are a potential cause of erroneous nucleotide reads in nanopore sequencing devices and may severely limit read lengths in the foreseeable future. Even though our coarse-grained model is only based on …

PolymersMaterials by StructureMolecular biologyMaterials ScienceElectrophoretic techniquesDNA electrophoresisNucleotide SequencingMolecular Dynamics SimulationBiochemistryNanoporesSequencing techniquesMathematical and Statistical Techniquesstomatognathic systemGeneticsBiochemical SimulationsNanotechnologyDNA sequencingMaterials by AttributeNanomaterialsQuantitative Biology::BiomoleculesBiology and life sciencesMathematical Modelsfood and beveragesComputational BiologyDNAPolymer ChemistryMathematics::Geometric TopologyResearch and analysis methodsNucleic acidsChemistrysurgical procedures operativeMolecular biology techniquesMacromoleculesRandom WalkPhysical SciencesNucleic Acid ConformationEngineering and TechnologyMonte Carlo MethodResearch ArticlePLoS computational biology
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On the influence of the supporting frame on the nuclear response of the Helium-Cooled Lithium Lead Test Blanket Module for ITER

2006

Abstract Within the European Fusion Technology Programme, very intense research activities have been promoted on the Helium-Cooled Lithium Lead (HCLL) breeding blanket concept with the specific aim of manufacturing a Test Blanket Module (TBM) to be irradiated in ITER. HCLL-TBM is foreseen to be located in an ITER equatorial port, being housed inside a proper steel-supporting frame. In particular, since that frame has been designed to provide two cavities separated by a dividing plate and HCLL-TBM is foreseen to fill just one of them, its nuclear response could vary accordingly to the filling status of the other one, unless the dividing plate is thick enough to isolate the components housed …

Potential impactMaterials scienceMechanical EngineeringNuclear engineeringNeutronicMonte Carlo methodchemistry.chemical_elementBlanketFusion powerlaw.inventionNuclear interactionNuclear physicsNuclear Energy and EngineeringchemistrylawITERNuclear responseHCLL Test Blanket ModuleGeneral Materials ScienceSpark plugHeliumSettore ING-IND/19 - Impianti NucleariCivil and Structural EngineeringParametric statistics
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Data-driven estimation of the invisible energy of cosmic ray showers with the Pierre Auger Observatory

2019

The determination of the primary energy of extensive air showers using the fluorescence detection technique requires an estimation of the energy carried away by particles that do not deposit all their energy in the atmosphere. This estimation is typically made using Monte Carlo simulations and thus depends on the assumed primary particle mass and on model predictions for neutrino and muon production. In this work we present a new method to obtain the invisible energy from events detected by the Pierre Auger Observatory. The method uses measurements of the muon number at ground level, and it allows us to significantly reduce the systematic uncertainties related to the mass composition and th…

Primary energyAstronomyAstrophysics::High Energy Astrophysical PhenomenaMonte Carlo methodHadronFOS: Physical sciencesCosmic rayultra high energy cosmic rays01 natural sciencesNuclear physicscosmic rays0103 physical sciencesExperiments in gravityddc:530High Energy Physics[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)DETECTORPierre Auger ObservatoryPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Muon010308 nuclear & particles physicsSettore FIS/01 - Fisica SperimentaleAstrophysics::Instrumentation and Methods for AstrophysicsGénéralitésDETETORESMODEL13. Climate actioncosmic rays detectors ultra high energy cosmic raysExperimental High Energy Physicscosmic rays detectorsNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomena[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]cosmologyEnergy (signal processing)Physical Review D
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Sequence Determines Degree of Knottedness in a Coarse-Grained Protein Model

2015

Knots are abundant in globular homopolymers but rare in globular proteins. To shed new light on this long-standing conundrum, we study the influence of sequence on the formation of knots in proteins under native conditions within the framework of the hydrophobic-polar (HP) lattice protein model. By employing large scale Wang-Landau simulations combined with suitable Monte Carlo trial moves we show that, even though knots are still abundant on average, sequence introduces large variability in the degree of self-entanglements. Moreover, we are able to design sequences which are either almost always or almost never knotted. Our findings serve as proof of concept that the introduction of just o…

Protein ConformationFOS: Physical sciencesGeneral Physics and AstronomyCondensed Matter - Soft Condensed Matterstomatognathic systemComputer SimulationMathematicsSequence (medicine)chemistry.chemical_classificationQuantitative Biology::BiomoleculesDegree (graph theory)Proteinsfood and beveragesBiomolecules (q-bio.BM)Knot theoryAmino acidsurgical procedures operativeModels ChemicalQuantitative Biology - BiomoleculeschemistryFOS: Biological sciencesProtein modelSoft Condensed Matter (cond-mat.soft)Biological systemHydrophobic and Hydrophilic InteractionsMonte Carlo MethodPhysical Review Letters
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A practical protocol for calibration of nutrient removal wastewater treatment models

2011

Activated sludge models can be very useful for designing and managing wastewater treatment plants (WWTPs). However, as with every model, they need to be calibrated for correct and reliable application. Activated sludge model calibration is still a crucial point that needs appropriate guidance. Indeed, although calibration protocols have been developed, the model calibration still represents the main bottleneck to modelling. This paper presents a procedure for the calibration of an activated sludge model based on a comprehensive sensitivity analysis and a novel step-wise Monte Carlo-based calibration of the subset of influential parameters. In the proposed procedure the complex calibration i…

Protocol (science)Atmospheric ScienceEngineeringMathematical optimizationSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleCalibration (statistics)business.industryMonte Carlo methodsensitivity analysiActivated sludge modelidentifiabilityGeotechnical Engineering and Engineering Geologycalibration protocolGLUEBottleneckASMIdentifiabilitySensitivity (control systems)businessGLUEwastewater treatment modellingSimulationCivil and Structural EngineeringWater Science and TechnologyJournal of Hydroinformatics
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Measurement of multi-jet cross sections in proton-proton collisions at a 7 TeV center-of-mass energy

2011

Inclusive multi-jet production is studied in proton–proton collisions at a center-of-mass energy of 7 TeV, using the ATLAS detector. The data sample corresponds to an integrated luminosity of 2.4 pb−1. Results on multi-jet cross sections are presented and compared to both leading-order plus parton-shower Monte Carlo predictions and to next-to-leading-order QCD calculations.

ProtonPhysics and Astronomy (miscellaneous)EventsMonte Carlo methodJet (particle physics)01 natural sciences7. Clean energyHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear ExperimentQuantum chromodynamicsPhysicsLuminosity (scattering theory)PhysicsSettore FIS/01 - Fisica SperimentaleHERAATLASINCLUSIVE JET CROSS SECTIONPhotoproductionmedicine.anatomical_structurePhysical SciencesFísica nuclearLHCParticle Physics - ExperimentSimulationParticle physicsCiências Naturais::Ciências FísicasAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicsAtlas (anatomy)0103 physical sciencesproton–proton collisions; center-of-mass energymedicineFysikddc:530High Energy Physics010306 general physicsEngineering (miscellaneous)HeraScience & Technology010308 nuclear & particles physicsAntiproton ColliderHADRON-HADRON COLLISIONSHigh Energy Physics::ExperimentCenter of mass
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Parameter Sensitivity and the Quality of Model Predictions

1994

Using SIM-PEL, a comprehensive model for the pelagic compartment of lake ecosystems, we analyse synergistic toxicant effects in lake ecosystems. We show, that — even for a rather simple model — model predictions may be strongly dependent on the time horizon of the prediction and on the quality of input parameters. For longer time spans, small errors in parameter estimation may lead to qualitatively wrong prediction of toxicant effects. Monte Carlo simulations allow to take errors in parameter estimation into account, but they need rather good estimates of parameter variance.

Quality (physics)Estimation theoryMonte Carlo methodLake ecosystemTime horizonVariance (accounting)Sensitivity (control systems)Statistical physicsQuantitative Biology::OtherPhytoplankton biomassMathematics
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