Search results for "Statistical physics"

showing 10 items of 1402 documents

Wait-and-switch relaxation model: Relationship between nonexponential relaxation patterns and random local properties of a complex system

2006

The wait-and-switch stochastic model of relaxation is presented. Using the ``random-variable'' formalism of limit theorems of probability theory we explain the universality of the short- and long-time fractional-power laws in relaxation responses of complex systems. We show that the time evolution of the nonequilibrium state of a macroscopic system depends on two stochastic mechanisms: one, which determines the local statistical properties of the relaxing entities, and the other one, which determines the number (random or deterministic) of the microscopic and mesoscopic relaxation contributions. Within the proposed framework we derive the Havriliak-Negami and Kohlrausch-Williams-Watts funct…

Mesoscopic physicsMathematical optimizationProbability theoryStochastic modellingHomogeneousComplex systemTime evolutionNon-equilibrium thermodynamicsStatistical physicsMathematicsUniversality (dynamical systems)Physical Review E
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Simulation of Order-Disorder Phenomena and Diffusion in Metallic Alloys

1991

The application of the Monte Carlo method to lattice-statistics problems in metallurgy is reviewed. Examples are given for the prediction of phase diagrams from simple model assumptions for effective interatomic potentials and for the calculation of parameters describing long- and short-range order, ordering energy, etc., both for face-centered cubic (fcc) and body-centered cubic (bcc) lattices. Applications to real systems such as Cu—Au and Fe—Al alloys are discussed.

Metallic alloyCondensed Matter::Materials ScienceMaterials scienceReal systemsSimple (abstract algebra)Spinodal decompositionMonte Carlo methodOrder (ring theory)Statistical physicsDiffusion (business)Phase diagram
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Monte Carlo calculation of free energy for a fcc lattice-gas model

1990

A face-centered-cubic Ising lattice-gas model with nearest- and next-nearest-neighbor interactions is studied, and an accurate determination of the transition temperature for the discontinuous order-disorder transition is obtained. This model is of interest in the studies of phase diagrams for metallic alloys. The location of the transition was previously not known accurately, and its estimation has a number of applications. Very accurate absolute free-energy densities for the two coexisting phases have been obtained from a combination of the standard thermodynamic integration method and the method of sampling finite-size dependence. The latent-heat also is calculated with good precision.

Metallic alloyMaterials scienceLattice (order)Latent heatTransition temperatureMonte Carlo methodThermodynamic integrationIsing modelStatistical physicsPhase diagramPhysical Review B
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Calculation of phase diagrams for models of metallic alloys

2007

We briefly review a longstanding problem of metallurgy and statistical physics, namely, the prediction of phase diagrams of binary alloys from simple model assumptions on the atomic interactions, such as Ising-type models. Various methods of statistical mechanics which have been applied to this problem are introduced and compared to each other, such as the cluster-variation method and Monte-Carlo simulation. The merits as well as the limitations of these methods are discussed, emphasizing examples of fcc and bcc lattices which are potentially relevant for the problem of short-range order and long-range order in metallic alloys such as Cu−Au, Ni−Cr, and Fe−Al.A brief comparison with correspo…

Metallic alloyMaterials scienceSimple (abstract algebra)Experimental dataBinary numberStatistical mechanicsStatistical physicsPhase diagram
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2021

Fluctuation–dissipation relations or “theorems” (FDTs) are fundamental for statistical physics and can be rigorously derived for equilibrium systems. Their applicability to non-equilibrium systems is, however, debated. Here, we simulate an active microrheology experiment, in which a spherical colloid is pulled with a constant external force through a fluid, creating near-equilibrium and far-from-equilibrium systems. We characterize the structural and dynamical properties of these systems, and reconstruct an effective generalized Langevin equation (GLE) for the colloid dynamics. Specifically, we test the validity of two FDTs: The first FDT relates the non-equilibrium response of a system to …

Microrheology010304 chemical physicsFormalism (philosophy)Probability and statisticsGeneral ChemistryDissipationCondensed Matter Physics01 natural sciencesConstraint (information theory)Kernel (image processing)Orthogonality0103 physical sciencesStatistical physics010306 general physicsConstant (mathematics)MathematicsSoft Matter
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Monte Carlo Tests of Nucleation Concepts in the Lattice Gas Model

2013

The conventional theory of homogeneous and heterogeneous nucleation in a supersaturated vapor is tested by Monte Carlo simulations of the lattice gas (Ising) model with nearest-neighbor attractive interactions on the simple cubic lattice. The theory considers the nucleation process as a slow (quasi-static) cluster (droplet) growth over a free energy barrier $\Delta F^*$, constructed in terms of a balance of surface and bulk term of a "critical droplet" of radius $R^*$, implying that the rates of droplet growth and shrinking essentially balance each other for droplet radius $R=R^*$. For heterogeneous nucleation at surfaces, the barrier is reduced by a factor depending on the contact angle. U…

Models MolecularCanonical ensembleModels StatisticalMaterials scienceStatistical Mechanics (cond-mat.stat-mech)Monte Carlo methodNucleationThermodynamicsFOS: Physical sciencesCondensed Matter - Soft Condensed MatterModels ChemicalLattice (order)Cluster (physics)Soft Condensed Matter (cond-mat.soft)Computer SimulationIsing modelGasesStatistical physicsLever ruleCrystallizationMonte Carlo MethodAlgorithmsCondensed Matter - Statistical MechanicsQuasistatic process
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Atomic Mean-Square Displacements in Proteins by Molecular Dynamics: A Case for Analysis of Variance

2004

AbstractInformation on protein internal motions is usually obtained through the analysis of atomic mean-square displacements, which are a measure of variability of the atomic positions distribution functions. We report a statistical approach to analyze molecular dynamics data on these displacements that is based on probability distribution functions. Using a technique inspired by the analysis of variance, we compute unbiased, reliable mean-square displacements of the atoms and analyze them statistically. We applied this procedure to characterize protein thermostability by comparing the results for a thermophilic enzyme and a mesophilic homolog. In agreement with previous experimental observ…

Models MolecularMean squareSurface (mathematics)Hot TemperatureTime FactorsNitrogenProtein ConformationMolecular ConformationBiophysicsBiophysical Theory and ModelingMeasure (mathematics)Protein Structure SecondaryMolecular dynamicsBacterial ProteinsStatistical physicsProbabilityThermostabilityAnalysis of VarianceQuantitative Biology::BiomoleculesModels StatisticalChemistryProteinsModels TheoreticalCrystallographyDistribution functionSolventsProbability distributionAnalysis of varianceAlgorithms
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Protein search for multiple targets on DNA

2016

Protein-DNA interactions are crucial for all biological processes. One of the most important fundamental aspects of these interactions is the process of protein searching and recognizing specific binding sites on DNA. A large number of experimental and theoretical investigations have been devoted to uncovering the molecular description of these phenomena, but many aspects of the mechanisms of protein search for the targets on DNA remain not well understood. One of the most intriguing problems is the role of multiple targets in protein search dynamics. Using a recently developed theoretical framework we analyze this question in detail. Our method is based on a discrete-state stochastic appro…

Models MolecularQuantitative Biology - Subcellular ProcessesComputer scienceProcess (engineering)Monte Carlo methodBiophysicsGeneral Physics and Astronomy03 medical and health scienceschemistry.chemical_compound0302 clinical medicinePosition (vector)Computer SimulationStatistical physicsPhysical and Theoretical ChemistrySubcellular Processes (q-bio.SC)030304 developmental biologyStochastic Processes0303 health sciencesBinding SitesModels GeneticProtein moleculesProteinsDNAchemistryFOS: Biological sciencesMonte Carlo Method030217 neurology & neurosurgeryDNAProtein BindingThe Journal of Chemical Physics
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Accurate Treatment of Large Supramolecular Complexes by Double-Hybrid Density Functionals Coupled with Nonlocal van der Waals Corrections.

2015

In this work, we present a thorough assessment of the performance of some representative double-hybrid density functionals (revPBE0-DH-NL and B2PLYP-NL) as well as their parent hybrid and GGA counterparts, in combination with the most modern version of the nonlocal (NL) van der Waals correction to describe very large weakly interacting molecular systems dominated by noncovalent interactions. Prior to the assessment, an accurate and homogeneous set of reference interaction energies was computed for the supramolecular complexes constituting the L7 and S12L data sets by using the novel, precise, and efficient DLPNO-CCSD(T) method at the complete basis set limit (CBS). The correction of the bas…

Models MolecularWork (thermodynamics)Macromolecular SubstancesAccurate treatmentSupramolecular chemistryVan der Waals surfaceDouble-hybrid density functionalsSet (abstract data type)symbols.namesakeLarge supramolecular complexesQuantum mechanicsNon-covalent interactionsComputer SimulationQuímica FísicaLimit (mathematics)Statistical physicsPhysical and Theoretical ChemistryBasis setNonlocal van der Waals correctionschemistry.chemical_classificationChemistryComputer Science ApplicationsModels ChemicalsymbolsQuantum Theoryvan der Waals forceHydrophobic and Hydrophilic InteractionsJournal of chemical theory and computation
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Single Particle Jumps in a Binary Lennard-Jones Glass

2002

ABSTRACTWe study a binary Lennard-Jones mixture below the glass transition with molecular dynamics (MD) simulations. To investigate the dynamics of the system we define single particle jumps via their single particle trajectories. We find two kinds of jumps: metastable jumps, where a particle jumps back and forth between two or more states, and real jumps, where a particle does not return to any of its former states. For both the real and metastable jumps we present as a function of temperature the number of jumps, jump size, time between jumps, and energy.

Molecular dynamicsMaterials scienceComputer Science::Information RetrievalMetastabilityJumpParticleBinary numberFunction (mathematics)Statistical physicsGlass transitionMRS Proceedings
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