Search results for "Statistical physics"

showing 10 items of 1402 documents

Challenges in truncating the hierarchy of time-dependent reduced density matrices equations

2012

In this work, we analyze the Born, Bogoliubov, Green, Kirkwood, and Yvon (BBGKY) hierarchy of equations for describing the full time evolution of a many-body fermionic system in terms of its reduced density matrices (at all orders). We provide an exhaustive study of the challenges and open problems linked to the truncation of such a hierarchy of equations to make them practically applicable. We restrict our analysis to the coupled evolution of the one- and two-body reduced density matrices, where higher-order correlation effects are embodied into the approximation used to close the equations. We prove that within this approach, the number of electrons and total energy are conserved, regardl…

Hubbard modelta114PhysicsComplex systemdensity matricesmany-body fermionic systemElectronCondensed Matter PhysicsBBGKY hierarchy01 natural sciencesInstability010305 fluids & plasmasElectronic Optical and Magnetic MaterialsequationsQuantum mechanics0103 physical sciencesCompatibility (mechanics)Strongly correlated materialStatistical physics010306 general physicsMathematicsElectronic density
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Monte Carlo Methods for the Sampling of Free Energy Landscapes

2019

In this chapter, we return to classical statistical mechanics, wherein the canonical ensemble averages of an observable \(A(\overrightarrow{x})\), where \(\overrightarrow{x} \) stands symbolically for the “microstate” coordinate in the configurational part of the phase space of the system, are given by (cf. Sect. 2.1.1)

Hybrid Monte CarloCanonical ensemblePhysicsPhase spaceMonte Carlo methodObservableMonte Carlo method in statistical physicsStatistical physicsStatistical mechanicsMicrostate (statistical mechanics)
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Monte carlo methods in quantum many-body theories

2008

This is an introduction of Monte Carlo methods for beginners and their application to some quantum many-body problems. Special emphasis is done on the methodology and the general characteristics of Monte Carlo calculations. An introduction to the applications to many-body physics, specifically the Variational Monte Carlo and the Green Function Monte Carlo, is also included.

Hybrid Monte CarloComputer scienceQuantum Monte CarloMonte Carlo methodDynamic Monte Carlo methodMathematics::Metric GeometryMonte Carlo method in statistical physicsMonte Carlo integrationStatistical physicsVariational Monte CarloMonte Carlo molecular modeling
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Off-lattice models

2005

Hybrid Monte CarloMaterials scienceCondensed matter physicsChemistryLattice (order)Monte Carlo methodDynamic Monte Carlo methodMonte Carlo method in statistical physicsStatistical physicsDirect simulation Monte CarloKinetic Monte CarloParticle filterMonte Carlo molecular modeling
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A Monte Carlo Simulation of the Stillinger-Weber Model for Si-Ge Alloys

1994

ABSTRACTThe bulk phase behavior of silicon-germanium alloys is investigated by means of a constant pressure Monte Carlo simulation of the Stillinger-Weber potential in the semi-grand-canonical ensemble. At low temperatures, Si and Ge phase separate into a Si-rich phase and a Ge-rich phase. The two-phase region is terminated by a critical point whose nature is investigated thoroughly by the multihistogram method combined with finite size scaling analysis. These results showed that the critical behavior of the alloy belongs to the mean field universality class, presumably due to the elastic degrees of freedom. We have also studied the structural properties of the mixture and found that the li…

Hybrid Monte CarloMaterials scienceCondensed matter physicsCritical point (thermodynamics)Monte Carlo methodDynamic Monte Carlo methodMonte Carlo method in statistical physicsDirect simulation Monte CarloKinetic Monte CarloMonte Carlo molecular modelingMRS Proceedings
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Analysis of multilayer adsorption models without screening

1991

A class of recently introduced irreversible multilayer adsorption models without screening is analysed. The basic kinetic process of these models leads to power law behaviour for the decay of the jamming coverage as a function of height. The authors find the exact value for the power law exponent. An approximate analytical treatment of these models and previous Monte Carlo simulations are found to be in good agreement.

Hybrid Monte CarloMaterials scienceMonte Carlo methodDynamic Monte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMonte Carlo method in statistical physicsStatistical physicsKinetic Monte CarloDirect simulation Monte CarloPower lawMathematical PhysicsMonte Carlo molecular modelingJournal of Physics A: Mathematical and General
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Crossover scaling in semidilute polymer solutions: a Monte Carlo test

1991

Hybrid Monte CarloMaterials sciencePhysics and Astronomy (miscellaneous)CrossoverGeneral EngineeringDynamic Monte Carlo methodMonte Carlo method in statistical physicsParallel temperingKinetic Monte CarloDirect simulation Monte CarloStatistical physicsAtomic and Molecular Physics and OpticsMonte Carlo molecular modelingJournal de Physique II
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Monte Carlo test of the self-consistent field theory of a polymer brush

1992

Hybrid Monte CarloMonte carlo testMaterials sciencePhysics and Astronomy (miscellaneous)General EngineeringDynamic Monte Carlo methodField theory (psychology)Monte Carlo method in statistical physicsStatistical physicsKinetic Monte CarloPolymer brushAtomic and Molecular Physics and OpticsMonte Carlo molecular modelingJournal de Physique II
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Medium-range interactions and crossover to classical critical behavior

1996

We study the crossover from Ising-like to classical critical behavior as a function of the range R of interactions. The power-law dependence on R of several critical amplitudes is calculated from renormalization theory. The results confirm the predictions of Mon and Binder, which were obtained from phenomenological scaling arguments. In addition, we calculate the range dependence of several corrections to scaling. We have tested the results in Monte Carlo simulations of two-dimensional systems with an extended range of interaction. An efficient Monte Carlo algorithm enabled us to carry out simulations for sufficiently large values of R, so that the theoretical predictions could actually be …

Hybrid Monte CarloPhysicsQuantum Monte CarloCondensed Matter (cond-mat)Monte Carlo methodDynamic Monte Carlo methodFOS: Physical sciencesMonte Carlo method in statistical physicsCondensed MatterStatistical physicsCritical exponentMonte Carlo algorithmMonte Carlo molecular modelingPhysical Review E
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Critical phenomena without “hyper scaling”: How is the finite-size scaling analysis of Monte Carlo data affected?

2010

Abstract The finite size scaling analysis of Monte Carlo data is discussed for two models for which hyperscaling is violated: (i) the random field Ising model (using a model for a colloid-polymer mixture in a random matrix as a representative) (ii) The Ising bi-pyramid in computing surface fields.

Hybrid Monte CarloPhysicsQuantum Monte CarloMonte Carlo methodCondensed Matter::Statistical MechanicsDynamic Monte Carlo methodMonte Carlo integrationIsing modelMonte Carlo method in statistical physicsStatistical physicsPhysics and Astronomy(all)Condensed Matter::Disordered Systems and Neural NetworksMonte Carlo molecular modelingPhysics Procedia
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