Search results for "ENSEMBLE"

showing 10 items of 162 documents

Driven Brownian particle as a paradigm for a nonequilibrium heat bath: Effective temperature and cyclic work extraction

2017

We apply the concept of a frequency-dependent effective temperature based on the fluctuation-dissipation ratio to a driven Brownian particle in a nonequilibrium steady state. Using this system as a thermostat for a weakly coupled harmonic oscillator, the oscillator thermalizes according to a canonical distribution at the respective effective temperature across the entire frequency spectrum. By turning the oscillator from a passive "thermometer" into a heat engine, we realize the cyclic extraction of work from a single thermal reservoir, which is feasible only due to its nonequilibrium nature.

Canonical ensemblePhysicsWork (thermodynamics)Thermal reservoirStatistical Mechanics (cond-mat.stat-mech)Non-equilibrium thermodynamicsFOS: Physical sciencesMechanics01 natural sciencesThermostat010305 fluids & plasmaslaw.inventionClassical mechanicslaw0103 physical sciences010306 general physicsHarmonic oscillatorBrownian motionCondensed Matter - Statistical MechanicsHeat engine
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Finite-size scaling in a microcanonical ensemble

1988

The finite-size scaling technique is extended to a microcanonical ensemble. As an application, equilibrium magnetic properties of anL×L square lattice Ising model are computed using the microcanonical ensemble simulation technique of Creutz, and the results are analyzed using the microcanonical ensemble finite-size scaling. The computations were done on the multitransputer system of the Condensed Matter Theory Group at the University of Mainz.

Canonical ensembleStatistical ensemblePhysicsMicrocanonical ensembleThermodynamic betaIsothermal–isobaric ensembleCondensed Matter::Statistical MechanicsStatistical and Nonlinear PhysicsIsing modelSquare-lattice Ising modelStatistical mechanicsStatistical physicsMathematical PhysicsJournal of Statistical Physics
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Classical and Quantum Two-Dimensional Fluids in the Gibbs Ensemble

1994

We study the properties of model fluids in two spatial dimensions with Gibbs ensemble Monte Carlo (GEMC) techniques. In particular in the first part of the paper we study the entropy driven phase separation in case of a nonadditive symmetric hard disc fluid and locate by a combination of GEMC with finite size scaling techniques the critical line of nonadditivities as a function of the system density, which separates the mixing/demixing regions, we compare with a simple approximation. In the second part we successfully combine path integral Monte Carlo (PIMC) and GEMC techniques in order to locate the gas-liquid coexistence densities for a fluid with classical degrees of freedom and internal…

Canonical ensembleStatistical ensemblePhysicsMicrocanonical ensemblesymbols.namesakeIsothermal–isobaric ensembleMonte Carlo methodsymbolsStatistical physicsGibbs measureQuantum statistical mechanicsPath integral Monte Carlo
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Basic Notions of the Theory of Heat

2016

This chapter summarizes some basic notions of thermodynamics and defines the empirical variables which are needed for the description of thermodynamic systems in equilibrium. Empirical temperature and several scales used to measure temperature are defined. The so-called “zeroth law of thermodynamics” is formulated which says that systems which are in mutual equilibrium have the same temperature. Thermodynamic ensembles corresponding to different macroscopic boundary conditions are introduced and are illustrated by simple models such as the ideal gas. Also, entropy appears on the scene for a first time, both in its statistical and its thermodynamical interpretation. Gibb’s fundamental form i…

Canonical ensembleTheoretical physicsEntropy (classical thermodynamics)Grand canonical ensembleZeroth law of thermodynamicsTheory of heatBoundary value problemThermodynamic systemIdeal gasMathematics
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Rate Theory for Electrocatalytic Systems: Fixed Potential Formulation for General, Electron Transfer, and Proton-Coupled Electron Transfer Reactions

2019

Atomistic modeling of electrocatalytic reactions is most naturally conducted within the grand canonical ensemble (GCE) which enables fixed chemical potential calculations. While GCE has been widely adopted for modeling electrochemical and electrocatalytic thermodynamics, the electrochemical reaction rate theory within GCE is lacking. Molecular and condensed phase rate theories are formulated within microcanonical and canonical ensembles, respectively, but electrocatalytic systems described within the GCE require extension of the conventionally used rate theories for computation reaction rates at fixed electrode potentials. In this work, rate theories from (micro) canonical ensemble are gene…

Canonical ensembleTransition state theoryElectron transferGrand canonical ensembleMaterials scienceStandard electrode potentialElectrochemical kineticsThermodynamicsRate equationProton-coupled electron transfer
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Unified Rate Theory of Electrochemistry and Electrocatalysis: Fixed Potential Formulation for General, Electron Transfer, and Proton-Coupled Electron…

2019

Atomistic modeling of electrocatalytic reactions is most naturally conducted within the grand canonical ensemble (GCE) which enables fixed chemical potential calculations. While GCE has been widely adopted for modeling electrochemical and electrocatalytic thermodynamics, the electrochemical reaction rate theory within GCE is lacking. Molecular and condensed phase rate theories are formulated within microcanonical and canonical ensembles, respectively, but electrocatalytic systems described within the GCE require extension of the conventionally used rate theories for computation reaction rates at fixed electrode potentials. In this work, rate theories from (micro)canonical ensemble are gener…

Canonical ensembleTransition state theoryGrand canonical ensembleElectron transferMaterials scienceStandard electrode potentialThermodynamicsRate equationProton-coupled electron transferElectrode potential
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Anomalous size-dependence of interfacial profiles between coexisting phases of polymer mixtures in thin-film geometry: A Monte Carlo simulation

1997

The interfacial profile between coexisting phases of a binary mixture (A,B) in a thin film of thickness D and lateral linear dimensions L depends sensitively on both linear dimensions and on the nature of boundary conditions and statistical ensembles applied. These phenomena generic for systems in confined geometry are demonstrated by Monte-Carlo simulations of the bond fluctuation model of symmetric polymer mixtures. Both the canonical and semi-grand-canonical ensemble are studied. In the canonical ensemble, the interfacial width w increases (from small values which are of the same order as the intrinsic profile) like sqrt{D}, before a crossover to a saturation value w_max (w_max^2 proport…

Canonical ensemblechemistry.chemical_classificationMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodFOS: Physical sciencesGeneral Physics and AstronomyOrder (ring theory)Binary numberGeometryPolymerCondensed Matter - Soft Condensed MatterchemistrySoft Condensed Matter (cond-mat.soft)Boundary value problemPhysical and Theoretical ChemistryThin filmSaturation (magnetic)Condensed Matter - Statistical MechanicsThe Journal of Chemical Physics
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Effectiveness of local feature selection in ensemble learning for prediction of antimicrobial resistance

2008

In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may change over time as pathogen strains develop resistance to antibiotics that were previously effective. This problem, known as concept drift (CD), complicates the task of learning a robust model. Different ensemble learning (EL) approaches (that instead of learning a single classifier try to learn and maintain a set of classifiers over time) have been shown to perform reasonably well in the presence of concept drift. In this paper we study how much local feature selection (FS) can improve ensemble performance for da…

Change over timeConcept driftbusiness.industryComputer sciencemedia_common.quotation_subjectSystem testingFeature selectionMachine learningcomputer.software_genreEnsemble learningStatistical classificationVotingArtificial intelligenceData miningbusinesscomputerClassifier (UML)media_common
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Critical point and coexistence curve properties of the Lennard-Jones fluid: A finite-size scaling study

1995

Monte Carlo simulations within the grand canonical ensemble are used to explore the liquid-vapour coexistence curve and critical point properties of the Lennard-Jones fluid. Attention is focused on the joint distribution of density and energy fluctuations at coexistence. In the vicinity of the critical point, this distribution is analysed using mixed-field finite-size scaling techniques aided by histogram reweighting methods. The analysis yields highly accurate estimates of the critical point parameters, as well as exposing the size and character of corrections to scaling. In the sub-critical coexistence region the density distribution is obtained by combining multicanonical simulations wit…

Chemical Physics (physics.chem-ph)BinodalCondensed Matter (cond-mat)Monte Carlo methodFOS: Physical sciencesCondensed MatterGrand canonical ensembleTricritical pointCritical point (thermodynamics)Joint probability distributionHistogramPhysics - Chemical PhysicsStatistical physicsScalingMathematics
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Classes of sum-of-cisoids processes and their statistics for the modeling and simulation of mobile fading channels

2013

Published version of an article in the journal: EURASIP Journal on Wireless Communications and Networking. Also available from the publisher at: http://dx.doi.org/10.1186/1687-1499-2013-125 Open access In this paper, we present a fundamental study on the stationarity and ergodicity of eight classes of sum-of-cisoids (SOC) processes for the modeling and simulation of frequency-nonselective mobile Rayleigh fading channels. The purpose of this study is to determine which classes of SOC models enable the design of channel simulators that accurately reproduce the channel’s statistical properties without demanding information on the time origin or the time-consuming computation of an ensemble ave…

Computer Networks and CommunicationsComputer scienceStochastic processAutocorrelationEnsemble averageErgodicityVDP::Technology: 500::Information and communication technology: 550Computer Science ApplicationsModeling and simulationVDP::Mathematics and natural science: 400::Information and communication science: 420Signal ProcessingStatisticsErgodic theoryFadingCommunication channelRayleigh fadingEURASIP Journal on Wireless Communications and Networking
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