Search results for " Statistical"

showing 10 items of 1649 documents

Recent achievements in ab initio modelling of liquid water

2013

The application of newly developed first-principle modeling techniques to liquid water deepens our understanding of the microscopic origins of its unusual macroscopic properties and behaviour. Here, we review two novel ab initio computational methods: second-generation Car-Parrinello molecular dynamics and decomposition analysis based on absolutely localized molecular orbitals. We show that these two methods in combination not only enable ab initio molecular dynamics simulations on previously inaccessible time and length scales, but also provide unprecedented insights into the nature of hydrogen bonding between water molecules. We discuss recent applications of these methods to water cluste…

Chemical Physics (physics.chem-ph)Statistical Mechanics (cond-mat.stat-mech)Biological Physics (physics.bio-ph)Physics - Chemical PhysicsSoft Condensed Matter (cond-mat.soft)FOS: Physical sciencesPhysics - Biological PhysicsComputational Physics (physics.comp-ph)Condensed Matter - Soft Condensed MatterPhysics - Computational PhysicsCondensed Matter - Statistical Mechanics
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Levy flights in confining environments: Random paths and their statistics

2013

We analyze a specific class of random systems that are driven by a symmetric L\'{e}vy stable noise. In view of the L\'{e}vy noise sensitivity to the confining "potential landscape" where jumps take place (in other words, to environmental inhomogeneities), the pertinent random motion asymptotically sets down at the Boltzmann-type equilibrium, represented by a probability density function (pdf) $\rho_*(x) \sim \exp [-\Phi (x)]$. Since there is no Langevin representation of the dynamics in question, our main goal here is to establish the appropriate path-wise description of the underlying jump-type process and next infer the $\rho (x,t)$ dynamics directly from the random paths statistics. A pr…

Chemical Physics (physics.chem-ph)Statistics and ProbabilityPhysicsStatistical Mechanics (cond-mat.stat-mech)LogarithmFOS: Physical sciencesProbability density functionContext (language use)Mathematical Physics (math-ph)Function (mathematics)Condensed Matter PhysicsStability (probability)Lévy flightPhysics - Chemical PhysicsPhysics - Data Analysis Statistics and ProbabilityStatisticsMaster equationInvariant (mathematics)Data Analysis Statistics and Probability (physics.data-an)Condensed Matter - Statistical MechanicsMathematical Physics
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Modeling of biomolecular machines in non-equilibrium steady states

2021

Numerical computations have become a pillar of all modern quantitative sciences. Any computation involves modeling--even if often this step is not made explicit--and any model has to neglect details while still being physically accurate. Equilibrium statistical mechanics guides both the development of models and numerical methods for dynamics obeying detailed balance. For systems driven away from thermal equilibrium such a universal theoretical framework is missing. For a restricted class of driven systems governed by Markov dynamics and local detailed balance, stochastic thermodynamics has evolved to fill this gap and to provide fundamental constraints and guiding principles. The next step…

Chemical Physics (physics.chem-ph)Thermal equilibriumStatistical Mechanics (cond-mat.stat-mech)Markov chainComputer scienceComputationComplex systemDegrees of freedom (physics and chemistry)FOS: Physical sciencesGeneral Physics and AstronomyDetailed balanceStatistical mechanicsCondensed Matter - Soft Condensed MatterModels BiologicalMultiscale modelingPhysics - Chemical PhysicsThermodynamicsSoft Condensed Matter (cond-mat.soft)Statistical physicsPhysical and Theoretical ChemistryCondensed Matter - Statistical MechanicsThe Journal of Chemical Physics
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Microstructure–property relation and machine learning prediction of hole expansion capacity of high-strength steels

2021

Abstract The relationship between microstructure features and mechanical properties plays an important role in the design of materials and improvement of properties. Hole expansion capacity plays a fundamental role in defining the formability of metal sheets. Due to the complexity of the experimental procedure of testing hole expansion capacity, where many influencing factors contribute to the resulting values, the relationship between microstructure features and hole expansion capacity and the complexity of this relation is not yet fully understood. In the present study, an experimental dataset containing the phase constituents of 55 microstructures as well as corresponding properties, su…

Chemical contentMaterials scienceRelation (database)business.industryProperty (programming)Mechanical EngineeringMachine learningcomputer.software_genreMicrostructuremicrostructure constituents hole expansion capacity statistical analysis machine learningMechanics of MaterialsPhase (matter)Solid mechanicsFormabilityGeneral Materials ScienceStatistical analysisArtificial intelligencebusinesscomputerJournal of Materials Science
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Archaeometry of Sicilian glazed pottery

2004

Petrographic and chemical analyses of the “ceramic body” of 114 majolica artefacts manufactured in Sicily over a wide time range (16th–-19th century) are presented. All the analysed samples, which belong to museums and private collections, were previously attributed to Sicilian workshops based on stylistic features evaluated by expert historians of art. Unambiguous identification of the production sites of majolica handicrafts in Sicily remains, however, open to question when this relies only on purely stylistic considerations. To this end compositional and/or textural markers have been searched for in the “ceramic body” of the majolica artefacts in order to differentiate between the centre…

Chemical dataGeneral ChemistryArchaeologylanguage.human_languageArchaeological sciencePetrographyGeographyMajolicalanguageGeneral Materials SciencePotteryMultivariate statisticalSicilianTime range
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Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants

2023

The local Cosmic Ray (CR) energy spectrum exhibits a spectral softening at energies around 3~PeV. Sources which are capable of accelerating hadrons to such energies are called hadronic PeVatrons. However, hadronic PeVatrons have not yet been firmly identified within the Galaxy. Several source classes, including Galactic Supernova Remnants (SNRs), have been proposed as PeVatron candidates. The potential to search for hadronic PeVatrons with the Cherenkov Telescope Array (CTA) is assessed. The focus is on the usage of very high energy $\gamma$-ray spectral signatures for the identification of PeVatrons. Assuming that SNRs can accelerate CRs up to knee energies, the number of Galactic SNRs whi…

Cherenkov Telescope ArrayGamma rays: generalstatistical [methods]energy spectrumFOS: Physical sciencesVHESettore FIS/05 - Astronomia E Astrofisicacosmic raysMethods: data analysissupernovadata analysis [methods][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Cosmic raysInstrumentation and Methods for Astrophysics (astro-ph.IM)Cherenkov Telescope Arra ; alactic Supernova Remnants ; PeVatrons ;Methods: statisticalgalactic PeVatronsHigh Energy Astrophysical Phenomena (astro-ph.HE)emission spectrum) supernovae: general [(stars]Astronomy and AstrophysicssensitivityobservatoryGalactic PeVatronscosmic radiationspectralgalaxyhadron(Stars:) supernovae: generalAstrophysics - High Energy Astrophysical PhenomenaAstrophysics - Instrumentation and Methods for Astrophysics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]statisticalgeneral [gamma rays]signature
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Automatic detection of large dense-core vesicles in secretory cells and statistical analysis of their intracellular distribution.

2010

Analyzing the morphological appearance and the spatial distribution of large dense-core vesicles (granules) in the cell cytoplasm is central to the understanding of regulated exocytosis. This paper is concerned with the automatic detection of granules and the statistical analysis of their spatial locations in different cell groups. We model the locations of granules of a given cell as a realization of a finite spatial point process and the point patterns associated with the cell groups as replicated point patterns of different spatial point processes. First, an algorithm to segment the granules using electron microscopy images is proposed. Second, the relative locations of the granules with…

Chromaffin CellsInformation Storage and RetrievalBiologyBioinformaticsModels BiologicalSensitivity and SpecificityPoint processExocytosislaw.inventionPattern Recognition AutomatedMicelawArtificial IntelligenceImage Interpretation Computer-AssistedGeneticsAnimalsSecretionChromaffin GranulesComputer SimulationCells CulturedModels StatisticalApplied MathematicsVesicleSecretory VesiclesReproducibility of ResultsImage EnhancementEmpirical distribution functionMicroscopy ElectronAnimals NewbornCytoplasmData Interpretation StatisticalElectron microscopeBiological systemIntracellularAlgorithmsBiotechnologyIEEE/ACM transactions on computational biology and bioinformatics
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Performance of short-chain alcohols versus acetonitrile in the surfactant-mediated reversed-phase liquid chromatographic separation of β-blockers

2010

Organic solvents are traditionally added to micellar mobile phases to achieve adequate retention times and peak profiles, in a chromatographic mode which has been called micellar liquid chromatography (MLC). The organic solvent content is limited to preserve the formation of micelles. However, at increasing organic solvent contents, the transition to a situation where micelles do not exist is gradual. Also, there is no reason to neglect the potentiality of mobile phases containing only surfactant monomers instead of micelles (high submicellar chromatography, HSC). This is demonstrated here for the analysis of β-blockers. The performance of four organic solvents (methanol, ethanol, 1-propano…

Chromatography Reverse-PhaseAcetonitrilesChromatographyElutionAdrenergic beta-AntagonistsOrganic ChemistrySodium Dodecyl SulfateGeneral MedicineReversed-phase chromatographyBiochemistryHigh-performance liquid chromatographyMicelleAnalytical ChemistrySurface-Active Agentschemistry.chemical_compoundModels ChemicalchemistryPulmonary surfactantMicellar liquid chromatographyAlcoholsData Interpretation StatisticalMethanolAcetonitrileAlgorithmsMicellesJournal of Chromatography A
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Parabolic-Lorentzian modified Gaussian model for describing and deconvolving chromatographic peaks.

2002

Abstract A new mathematical model for characterising skewed chromatographic peaks, which improves the previously reported polynomially modified Gaussian (PMG) model, is proposed. The model is a Gaussian based equation whose variance is a combined parabolic-Lorentzian function. The parabola accounts for the non-Gaussian shaped peak, whereas the Lorentzian function cancels the variance growth out of the elution region, which gives rise to a problematic baseline increase in the PMG model. The proposed parabolic-Lorentzian modified Gaussian (PLMG) model makes a correct description of peaks showing a wide range of asymmetry with positive and/or negative skewness. The new model is shown to give b…

ChromatographyChromatographyModels StatisticalChemistryGaussianOrganic ChemistryCauchy distributionGeneral MedicineFunction (mathematics)BiochemistryAnalytical Chemistrysymbols.namesakeSkewnesssymbolsKurtosisDeconvolutionGaussian network modelAntibacterial agentJournal of chromatography. A
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Peak deconvolution in one-dimensional chromatography using a two-way data approach.

2002

A deconvolution methodology for overlapped chromatographic signals is proposed. Several single-wavelength chromatograms of binary mixtures, obtained in different runs at diverse concentration ratios of the individual components, were simultaneously processed (multi-batch approach), after being arranged as two-way data. The chromatograms were modelled as linear combinations of forced peak profiles according to a polynomially modified Gaussian equation. The fitting was performed with a previously reported hybrid genetic algorithm with local search, leaving all model parameters free. The approach yielded more accurate solutions than those found when each experimental chromatogram was fitted in…

ChromatographyChromatographyResolution (mass spectrometry)Matching (graph theory)Chemistrybusiness.industryOrganic ChemistryBinary numberGeneral MedicineBiochemistryAnalytical Chemistrysymbols.namesakeData Interpretation StatisticalGaussian functionsymbolsFigure of meritLocal search (optimization)DeconvolutionbusinessLinear combinationJournal of chromatography. A
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