Search results for "Statistical physic"

showing 10 items of 1403 documents

Statistically validated networks in bipartite complex systems.

2011

Many complex systems present an intrinsic bipartite nature and are often described and modeled in terms of networks [1-5]. Examples include movies and actors [1, 2, 4], authors and scientific papers [6-9], email accounts and emails [10], plants and animals that pollinate them [11, 12]. Bipartite networks are often very heterogeneous in the number of relationships that the elements of one set establish with the elements of the other set. When one constructs a projected network with nodes from only one set, the system heterogeneity makes it very difficult to identify preferential links between the elements. Here we introduce an unsupervised method to statistically validate each link of the pr…

Theoretical computer scienceComputer sciencelcsh:MedicineNetwork theorySocial and Behavioral SciencesBioinformaticsQuantitative Biology - Quantitative MethodsSociologyProtein Interaction Mappinglcsh:ScienceQuantitative Methods (q-bio.QM)MultidisciplinarySystems BiologyApplied MathematicsPhysicsStatisticsComplex SystemsGenomicsLink (geometry)Social NetworksSpecialization (logic)Interdisciplinary PhysicsBipartite graphProbability distributionResearch ArticleNetwork analysisPhysics - Physics and SocietyComplex systemFOS: Physical sciencesPhysics and Society (physics.soc-ph)Type (model theory)BiologyModels BiologicalNetwork theory Statistical PhysicsStatistical MechanicsSet (abstract data type)Statistical MethodsBiologyStructure (mathematical logic)Statistical Physicslcsh:RComputational BiologyModels TheoreticalComparative GenomicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)FOS: Biological sciencesNetwork theorylcsh:QNull hypothesisMathematicsPLoS ONE
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The Evolution of the Celsius and Kelvin Temperature Scales and the State of the Art

1999

A physical analysis is given of the evolution undergone by the Celsius and Kelvin temperature scales, from their definition to the present day. It is shown that in the temperature interval between ...

Theoretical physicsChemistryDegree CelsiusInterval (graph theory)General ChemistryStatistical physicsState (functional analysis)Physics::Atmospheric and Oceanic PhysicsEducation
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Estimation of Nucleation Barriers from Simulations of Crystal Nuclei Surrounded by Fluid in Equilibrium

2016

Nucleation rates for homogeneous nucleation are commonly estimated in terms of an Arrhenius law involving the nucleation barrier, written in terms of a competition of the contribution in surface free energy of the nucleus and the free energy gain proportional to the nucleus volume. For crystal nuclei this “classical nucleation theory” is hampered by the problem that the nucleus in general is non spherical, since the interfacial excess free energy depends on the orientation of the interface relative to the crystal axes. This problem can be avoided by analyzing the equilibrium of a crystal nucleus surrounded by fluid in a small simulation box in thermal equilibrium. Estimating the fluid press…

Thermal equilibriumArrhenius equationCrystalsymbols.namesakeWork (thermodynamics)Equation of stateChemistryChemical physicssymbolsNucleationClassical nucleation theoryStatistical physicsSurface energy
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Active colloidal suspensions: Clustering and phase behavior

2014

We review recent experimental, numerical, and analytical results on active suspensions of self-propelled colloidal beads moving in (quasi) two dimensions. Active colloids form part of the larger theme of active matter, which is noted for the emergence of collective dynamic phenomena away from thermal equilibrium. Both in experiments and computer simulations, a separation into dense aggregates, i.e., clusters, and a dilute gas phase has been reported even when attractive interactions and an alignment mechanism are absent. Here, we describe three experimental setups, discuss the different propelling mechanisms, and summarize the evidence for phase separation. We then compare experimental obse…

Thermal equilibriumChemistryFOS: Physical sciencesCondensed Matter - Soft Condensed MatterCondensed Matter PhysicsInstabilityElectronic Optical and Magnetic MaterialsActive matterMinimal modelCondensed Matter::Soft Condensed MatterColloidChemical physicsLow temperature combustionPhase (matter)Materials ChemistryCeramics and CompositesSoft Condensed Matter (cond-mat.soft)Statistical physicsCluster analysis
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Thermodynamic formalism and linear response theory for non-equilibrium steady states

2016

We study the linear response in systems driven away from thermal equilibrium into a nonequilibrium steady state with nonvanishing entropy production rate. A simple derivation of a general response formula is presented under the condition that the generating function describes a transformation that (to lowest order) preserves normalization and thus describes a physical stochastic process. For Markov processes we explicitly construct the conjugate quantities and discuss their relation with known response formulas. Emphasis is put on the formal analogy with thermodynamic potentials and some consequences are discussed.

Thermal equilibriumNormalization (statistics)Statistical Mechanics (cond-mat.stat-mech)Stochastic processEntropy productionMarkov processNon-equilibrium thermodynamicsFOS: Physical sciences01 natural sciences010305 fluids & plasmasThermodynamic potentialsymbols.namesake0103 physical sciencessymbolsStatistical physics010306 general physicsLinear response theoryCondensed Matter - Statistical MechanicsMathematics
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Microcanonical Determination of the Interface Tension of Flat and Curved Interfaces from Monte Carlo Simulations

2012

The investigation of phase coexistence in systems with multi-component order parameters in finite systems is discussed, and as a generic example, Monte Carlo simulations of the two-dimensional q-state Potts model (q=30) on LxL square lattices (40<=L<=100) are presented. It is shown that the microcanonical ensemble is well-suited both to find the precise location of the first order phase transition and to obtain an accurate estimate for the interfacial free energy between coexisting ordered and disordered phases. For this purpose, a microcanonical version of the heatbath algorithm is implemented. The finite size behaviour of the loop in the curve describing the inverse temperature vers…

Thermal equilibriumPhysicsPhase transitionSpinodalStatistical Mechanics (cond-mat.stat-mech)CondensationMonte Carlo methodFOS: Physical sciencesCondensed Matter Physics01 natural sciences010305 fluids & plasmasMicrocanonical ensemblePhase (matter)0103 physical sciencesGeneral Materials ScienceStatistical physics010306 general physicsCondensed Matter - Statistical MechanicsPotts model
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Finite-size effects of Kirkwood–Buff integrals from molecular simulations

2017

The modelling of thermodynamic properties of liquids from local density fluctuations is relevant to many chemical and biological processes. The Kirkwood–Buff (KB) theory connects the microscopic structure of isotropic liquids with macroscopic properties such as partial derivatives of activity coefficients, partial molar volumes and compressibilities. Originally, KB integrals were formulated for open and infinite systems which are difficult to access with standard Molecular Dynamics (MD) simulations. Recently, KB integrals for finite and open systems were formulated (J Phys Chem Lett. 2013;4:235). From the scaling of KB integrals for finite subvolumes, embedded in larger reservoirs, with the…

Thermodynamic stateGeneral Chemical EngineeringMonte Carlo methodInverse02 engineering and technology01 natural sciencesMolecular dynamicsthermodynamicsKirkwood–Buff integrals0103 physical sciencesfinite-size effectsGeneral Materials ScienceStatistical physicsScalingPhysics010304 chemical physicsIsotropyGeneral Chemistry021001 nanoscience & nanotechnologyCondensed Matter Physicsmolecular dynamicsModeling and SimulationThermodynamic limitPartial derivative0210 nano-technologyInformation Systems
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Indoor free space optics link under the weak turbulence regime: Measurements and model validation

2015

In this study, the authors present the measurements performed on a free space optics (FSO) communications link using an indoor atmospheric chamber. In particular, the authors have generated several different optical turbulence conditions, demonstrating how even the weak turbulence regime can strongly affect the FSO link performance. The authors have carried out an in-depth analysis of the data collected during the measurements, and calculated the turbulence strength (i.e. scintillation index and Rytov variance) and the important performance metrics (i.e. the Q-factor and bit error rate) to evaluate the FSO link quality. Moreover, the authors have tested, for the first time, an appositely de…

Time seriesComputer scienceOptical linksIrradianceGamma gamma channel modelSettore ING-INF/01 - ElettronicaScintillation indexoptical turbulenceQuality (physics)TEORIA DE LA SEÑAL Y COMUNICACIONESStatistical physicsError statisticsElectrical and Electronic EngineeringComunicació i tecnologiaScintillationtime-correlated channel modelbusiness.industryTurbulenceSettore ING-INF/03 - TelecomunicazioniIndoor atmospheric chamberRytov varianceAtmospheric turbulenceExperimental dataQ-factorTurbulence strengthSettore ING-INF/02 - Campi ElettromagneticiÒpticaComputer Science ApplicationsBit error rateQ factorFree Space OpticBit error rateGamma-Gamma modelIndoor free space optics communications linkTelecommunicationsbusinessFree-space optical communicationindoor link
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Lévy flights in confining potentials.

2009

We analyze confining mechanisms for L\'{e}vy flights. When they evolve in suitable external potentials their variance may exist and show signatures of a superdiffusive transport. Two classes of stochastic jump - type processes are considered: those driven by Langevin equation with L\'{e}vy noise and those, named by us topological L\'{e}vy processes (occurring in systems with topological complexity like folded polymers or complex networks and generically in inhomogeneous media), whose Langevin representation is unknown and possibly nonexistent. Our major finding is that both above classes of processes stay in affinity and may share common stationary (eventually asymptotic) probability densit…

Topological complexityStochastic ProcessesStationary distributionStatistical Mechanics (cond-mat.stat-mech)Stochastic processProbability (math.PR)FOS: Physical sciencesMathematical Physics (math-ph)Complex networkModels TheoreticalLévy processLangevin equationDiffusionClassical mechanicsLévy flightFOS: MathematicsStatistical physicsCondensed Matter - Statistical MechanicsMathematical PhysicsMathematics - ProbabilityBrownian motionMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Comments on an article of Slinn

1989

The discussion of the relationship between concentration fluctuations and residence times is certainly highly welcomed, because it can spread the news of how a simple analytical equation eases the often needed estimate of residence times for trace substances, gases and aerosols in size ranges. However, the treatment by Slinn (1988a) might confuse potential users. To ease the following clarification, I will use Slinn’s notation with C being a concentration and C the mean concentration, whether averaged over the exponentially decaying concentration in time or in distance downwind of a finite-area source. DOI: 10.1111/j.1600-0889.1989.tb00142.x

Trace (semiology)Atmospheric ScienceMeteorologyChemistrySimple (abstract algebra)Statistical physicsNotationTellus B
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