Search results for " ensemble"

showing 10 items of 93 documents

Monte Carlo Simulation of Alloy Phase Diagrams and Short-Range Order

1986

As a prototype model for order-disorder phenomena in binary alloys, a face-centered cubic lattice is considered,the sites of which can be taken by either A-atoms or B-atoms, assuming pair-wise interactions between nearest (J) and next nearest neighbours (J). The phase diagram is constructed from Monte Carlo calculations. Some technical aspects essential for the success of such calculations are briefly mentioned (use of grand-canonical rather than canonical ensemble, how to obtain the free energy needed to locate first-order phase transitions, etc.). It is shown that the topology of the phase diagram changes when the ratio R = Jnnn/Jnn is varied, and this behaviour is discussed in the contex…

Canonical ensemblePhase transitionMean field theoryLattice (order)Monte Carlo methodBinary numberStatistical physicsRenormalization groupMathematicsPhase diagram
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Counting statistics for electron capture in a dynamic quantum dot

2012

We report non-invasive single-charge detection of the full probability distribution $P_n$ of the initialization of a quantum dot with $n$ electrons for rapid decoupling from an electron reservoir. We analyze the data in the context of a model for sequential tunneling pinch-off, which has generic solutions corresponding to two opposing mechanisms. One limit considers sequential "freeze out" of an adiabatically evolving grand canonical distribution, the other one is an athermal limit equivalent to the solution of a generalized decay cascade model. We identify the athermal capturing mechanism in our sample, testifying to the high precision of our combined theoretical and experimental methods. …

Canonical ensemblePhysicsCondensed Matter - Mesoscale and Nanoscale PhysicsElectron captureGeneral Physics and AstronomyInitializationFOS: Physical sciencesDecoupling (cosmology)ElectronCascadeQuantum dotQuantum mechanicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)Probability distribution
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Simulation studies of gas-liquid transitions in two dimensions via a subsystem-block-density distribution analysis

1993

The finite-size scaling analysis of the density distribution function of subsystems of a system studied at constant total density is studied by a comparative investigation of two models: (i) the nearest-neighbor lattice gas model on the square lattice, choosing a total lattice size of 64×64 sites. (ii) The two-dimensional off-lattice Lennard-Jones system (truncated at a distance of 2.5 σ, σ being the range parameter of the interaction) withN=4096 particles, applying the NVT ensemble. In both models, the density distribution functionPL(ρ) is obtained forL×L subsystems for a wide range of temperaturesT, subblock linear dimensionsL and average densities . Particular attention is paid to the qu…

Canonical ensemblePhysicsDistribution functionComputer simulationLattice (order)CompressibilityGeneral Materials ScienceIsing modelStatistical physicsCondensed Matter PhysicsSquare latticeScalingElectronic Optical and Magnetic Materials
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Replica-exchange molecular dynamics simulation for supercooled liquids

2000

We investigate to what extend the replica-exchange Monte Carlo method is able to equilibrate a simple liquid in its supercooled state. We find that this method does indeed allow to generate accurately the canonical distribution function even at low temperatures and that its efficiency is about 10-100 times higher than the usual canonical molecular dynamics simulation.

Canonical ensemblePhysicsMolecular dynamicsStatistical Mechanics (cond-mat.stat-mech)ReplicaMonte Carlo methodSoft Condensed Matter (cond-mat.soft)FOS: Physical sciencesFunction (mathematics)Statistical physicsCondensed Matter - Soft Condensed MatterSupercoolingCondensed Matter - Statistical MechanicsPhysical Review E
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CLASSIFICATION THEORY FOR PHASE TRANSITIONS

1993

A refined classification theory for phase transitions in thermodynamics and statistical mechanics in terms of their orders is introduced and analyzed. The refined thermodynamic classification is based on two independent generalizations of Ehrenfests traditional classification scheme. The statistical mechanical classification theory is based on generalized limit theorems for sums of random variables from probability theory and the newly defined block ensemble limit. The block ensemble limit combines thermodynamic and scaling limits and is similar to the finite size scaling limit. The statistical classification scheme allows for the first time a derivation of finite size scaling without reno…

Canonical ensemblePhysicsPhase transitionScaling limitProbability theoryThermodynamic limitThermodynamicsStatistical and Nonlinear PhysicsLimit (mathematics)Statistical physicsStatistical mechanicsCondensed Matter PhysicsCritical exponentInternational Journal of Modern Physics B
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Temperature concepts for small, isolated systems: 1/t decay and radiative cooling

2003

We report on progress in our investigations of cluster cooling. The analysis of measurements is based on introduction of the microcanonical temperature and a statistical description of the decay of an ensemble with a broad distribution in temperature. The resulting time dependence of the decay rate is a power law close to t �1 , replaced by nearly exponential decay after a characteristic time for quenching by radiative cooling. We focus on results obtained for fullerenes, both anions and cations and recently also neutral C60.

Canonical ensemblePhysicsQuenchingMicrocanonical ensembleRadiative coolingExcited statePhysics::Atomic and Molecular ClustersOptical physicsAtomic physicsExponential decayPower lawAtomic and Molecular Physics and Optics
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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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