Search results for "Gibbs"

showing 10 items of 164 documents

Are one-step aromatic nucleophilic substitutions of non-activated benzenes concerted processes?

2019

Aromatic nucleophilic substitution (SNAr) reactions of non-electrophilically activated benzenes have been studied within the Molecular Electron Density Theory (MEDT) at the B3LYP/6-311+G(d) computational level. These reactions, taking place through a one-step mechanism, present a high activation Gibbs free energy, ΔG≠ = 31.0 kcal mol-1, which decreases to 22.1 kcal mol-1 in the intramolecular process. A topological analysis of the electron localisation function along the reaction paths permits establishing the non-concerted nature of these SNAr reactions. A series of unstable structures, with similar electronic structures to those of Meisenheimer intermediates, are characterised. The presen…

Electron density010405 organic chemistryChemistryOrganic ChemistryOne-Step010402 general chemistry01 natural sciencesBiochemistry0104 chemical sciencesGibbs free energysymbols.namesakeNucleophileNucleophilic aromatic substitutionComputational chemistryIntramolecular forcesymbolsNucleophilic substitutionSingle bondPhysical and Theoretical ChemistryOrganicbiomolecular chemistry
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A molecular electron density theory study of the [3 + 2] cycloaddition reaction of nitrones with strained allenes

2017

Indexación: Scopus. The [3 + 2] cycloaddition (32CA) reaction of C-phenyl-N-tert-butylnitrone with 1,2-cyclohexadiene (CHDE), a strained allene, has been studied within Molecular Electron Density Theory (MEDT) at the DFT B3LYP/6-311G(d,p) computational level. This non-polar 32CA reaction, which takes place through a non-concerted two-stage one-step mechanism, proceeds with a moderate Gibbs free activation energy of 22.7 kcal mol-1, and presents low stereo- and regioselectivities. The reaction begins by the creation of a pseudoradical center at the central carbon of the strained allene with a relatively low energy cost, which immediately promotes the formation the first C-C single bond. This…

Electron densityComputation theoryGeneral Chemical EngineeringAlleneActivation energy010402 general chemistryPhotochemistry01 natural scienceschemistry.chemical_compoundsymbols.namesakeComputational chemistryActivation energySingle bondReactivity (chemistry)CycloadditionStrain (chemistry)010405 organic chemistryChemistryGeneral ChemistryCycloadditionCarbonHydrocarbons0104 chemical sciencesGibbs free energysymbolsElectron density measurement
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Spatial pattern analysis using hybrid models: an application to the Hellenic seismicity

2016

Earthquakes are one of the most destructive natural disasters and the spatial distribution of their epi- centres generally shows diverse interaction structures at different spatial scales. In this paper, we use a multi-scale point pattern model to describe the main seismicity in the Hellenic area over the last 10 years. We analyze the interaction between events and the relationship with geo- logical information of the study area, using hybrid models as proposed by Baddeley et al. ( 2013 ). In our analysis, we find two competing suitable hybrid models, one with a full parametric structure and the other one based on nonpara- metric kernel estimators for the spatial inhomogeneity.

Environmental EngineeringInduced seismicity010502 geochemistry & geophysicsSpatial distribution01 natural sciencespoint process residualhellenic earthquakes010104 statistics & probabilityhybrids of gibbs point processesspatial covariatesEconometricsEnvironmental ChemistryPoint (geometry)spatial point processes0101 mathematicsSafety Risk Reliability and Quality0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and TechnologyParametric statisticsspatial covariatepoint process residualsNonparametric statisticsEstimatorspatial point processes.Kernel (statistics)hybrids of Gibbs point processeCommon spatial patternHellenic earthquakeSeismologyGeology
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A molecular electron density theory study of the insertion of CO into frustrated Lewis pair boron-amidines: a [4 + 1] cycloaddition reaction

2019

The insertion of CO into hydrogenated boron-amidine 1 yielding five-membered diazaborolone (5DAB) 3 has been studied within the molecular electron density theory (MEDT) at the DFT ωB97X-D/6-311G(d,p) level. This is a domino process comprised of two consecutive reactions: (i) the dehydrogenation of 1 yielding the frustrated Lewis pair (FLP) boron-amidine 4, which quickly equilibrates with four-membered diazaborolone (4DAB) 2; and (ii) the addition of CO into FLP 4, yielding the final 5DAB 3. Analysis of the Gibbs free energies indicates that the extrusion of H2 demands a high ΔG≠ of 28.6 kcal·mol-1, being endergonic by 6.7 kcal·mol-1. The subsequent addition of CO into FLP 4 presents a low Δ…

Exergonic reaction010405 organic chemistryChemistry010402 general chemistry01 natural sciencesFrustrated Lewis pairCycloaddition0104 chemical sciencesGibbs free energyInorganic Chemistrysymbols.namesakeCrystallographyNucleophileElectrophilesymbolsLewis acids and basesCarbenoidDalton Transactions
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Unveiling the Intramolecular Ionic Diels–Alder Reactions within Molecular Electron Density Theory

2021

The intramolecular ionic Diels–Alder (IIDA) reactions of two dieniminiums were studied within the Molecular Electron Density Theory (MEDT) at the ωB97XD/6-311G(d,p) computational level. Topological analysis of the electron localization function (ELF) of dieniminiums showed that their electronic structures can been seen as the sum of those of butadiene and ethaniminium. The superelectrophilic character of dieniminiums accounts for the high intramolecular global electron density transfer taking place from the diene framework to the iminium one at the transition state structures (TSs) of these IIDA reactions, which are classified as the forward electro density flux. The activation enthalpy ass…

Exergonic reaction010405 organic chemistryChemistryintramolecular ionic Diels–Alder reactionsmolecular electron density theorydieniminiumsIntermolecular forceIminiumIonic bondingGeneral Medicine010402 general chemistry01 natural sciencesElectron localization function0104 chemical sciencesGibbs free energyChemistryCrystallographysymbols.namesakeglobal electron density transferIntramolecular forcesuperelectrophilessymbolsSingle bondQD1-999Chemistry
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Adaptive independent sticky MCMC algorithms

2018

In this work, we introduce a novel class of adaptive Monte Carlo methods, called adaptive independent sticky MCMC algorithms, for efficient sampling from a generic target probability density function (pdf). The new class of algorithms employs adaptive non-parametric proposal densities which become closer and closer to the target as the number of iterations increases. The proposal pdf is built using interpolation procedures based on a set of support points which is constructed iteratively based on previously drawn samples. The algorithm's efficiency is ensured by a test that controls the evolution of the set of support points. This extra stage controls the computational cost and the converge…

FOS: Computer and information sciencesMathematical optimizationAdaptive Markov chain Monte Carlo (MCMC)Monte Carlo methodBayesian inferenceHASettore SECS-P/05 - Econometrialcsh:TK7800-8360Machine Learning (stat.ML)02 engineering and technologyBayesian inference01 natural sciencesStatistics - Computationlcsh:Telecommunication010104 statistics & probabilitysymbols.namesakeAdaptive Markov chain Monte Carlo (MCMC); Adaptive rejection Metropolis sampling (ARMS); Bayesian inference; Gibbs sampling; Hit and run algorithm; Metropolis-within-Gibbs; Monte Carlo methods; Signal Processing; Hardware and Architecture; Electrical and Electronic EngineeringGibbs samplingStatistics - Machine Learninglcsh:TK5101-67200202 electrical engineering electronic engineering information engineeringComputational statisticsMetropolis-within-GibbsHit and run algorithm0101 mathematicsElectrical and Electronic EngineeringGaussian processComputation (stat.CO)MathematicsSignal processinglcsh:Electronics020206 networking & telecommunicationsMarkov chain Monte CarloMonte Carlo methodsHardware and ArchitectureSignal ProcessingSettore SECS-S/03 - Statistica EconomicasymbolsSettore SECS-S/01 - StatisticaStatistical signal processingGibbs samplingAdaptive rejection Metropolis sampling (ARMS)EURASIP Journal on Advances in Signal Processing
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The Recycling Gibbs sampler for efficient learning

2018

Monte Carlo methods are essential tools for Bayesian inference. Gibbs sampling is a well-known Markov chain Monte Carlo (MCMC) algorithm, extensively used in signal processing, machine learning, and statistics, employed to draw samples from complicated high-dimensional posterior distributions. The key point for the successful application of the Gibbs sampler is the ability to draw efficiently samples from the full-conditional probability density functions. Since in the general case this is not possible, in order to speed up the convergence of the chain, it is required to generate auxiliary samples whose information is eventually disregarded. In this work, we show that these auxiliary sample…

FOS: Computer and information sciencesMonte Carlo methodSlice samplingInferenceMachine Learning (stat.ML)02 engineering and technologyBayesian inferenceStatistics - Computation01 natural sciencesMachine Learning (cs.LG)010104 statistics & probabilitysymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingStatistics - Machine LearningArtificial IntelligenceStatistics0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringGaussian processComputation (stat.CO)ComputingMilieux_MISCELLANEOUSMathematicsChain rule (probability)Applied Mathematics020206 networking & telecommunicationsMarkov chain Monte CarloStatistics::ComputationComputer Science - LearningComputational Theory and MathematicsSignal ProcessingsymbolsComputer Vision and Pattern RecognitionStatistics Probability and UncertaintyAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingGibbs samplingDigital Signal Processing
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Grapham: Graphical models with adaptive random walk Metropolis algorithms

2008

Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementation covering several such methods, with emphasis on graphical models for directed acyclic graphs. The implemented algorithms include the seminal Adaptive Metropolis algorithm adjusting the proposal covariance according to the history of the chain and a Metropolis algorithm adjusting the proposal scale based on the observed acceptance probability. Different variants of the algorithms allow one, for example, to use these two algorithms together, employ delayed rejection and adjust several parameters of the algorithm…

FOS: Computer and information sciencesStatistics and ProbabilityMarkov chainAdaptive algorithmApplied MathematicsRejection samplingMarkov chain Monte CarloMultiple-try MetropolisStatistics - ComputationStatistics::ComputationComputational Mathematicssymbols.namesakeMetropolis–Hastings algorithmComputational Theory and MathematicssymbolsGraphical modelAlgorithmComputation (stat.CO)MathematicsGibbs samplingComputational Statistics & Data Analysis
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A multi-scale area-interaction model for spatio-temporal point patterns

2018

Models for fitting spatio-temporal point processes should incorporate spatio-temporal inhomogeneity and allow for different types of interaction between points (clustering or regularity). This paper proposes an extension of the spatial multi-scale area-interaction model to a spatio-temporal framework. This model allows for interaction between points at different spatio-temporal scales and the inclusion of covariates. We fit the proposed model to varicella cases registered during 2013 in Valencia, Spain. The fitted model indicates small scale clustering and regularity for higher spatio-temporal scales.

FOS: Computer and information sciencesStatistics and ProbabilityScale (ratio)Computer scienceManagement Monitoring Policy and LawMulti-scale area-interaction modelcomputer.software_genreVaricella01 natural sciencesPoint processMethodology (stat.ME)010104 statistics & probability0502 economics and businessStatisticsCovariate60D05 60G55 62M30Point (geometry)0101 mathematicsComputers in Earth SciencesCluster analysisStatistics - Methodology050205 econometrics 05 social sciencesInteraction modelExtension (predicate logic)Gibbs point processesComputingMethodologies_PATTERNRECOGNITIONSpatio-temporal point processesData miningcomputer
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Gibbs and harmonic measures for foliations with negatively curved leaves

2013

In this thesis we develop a notion of Gibbs measure for the geodesic flow tangent to a foliated bundle over a compact and negatively curved basis. We also develop a notion of F-harmonic measure and prove that there exists a natural bijective correspondence between the two. For projective foliated bundles with sphere-fibers without transverse invariant measure, we show the uniqueness of these measures for any Hölder potential on the basis. In that case we also prove that F-harmonic measures are realized as weighted limits of large balls tangent to the leaves and that their conditional measures on the fibers are limits of weighted averages on the orbits of the holonomy group.

Feuilletages[ MATH.MATH-DS ] Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][MATH.MATH-DS] Mathematics [math]/Dynamical Systems [math.DS]théorie ergodiqueMathematics::Differential Geometryactions de groupesMesures de GibbsGibbs
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