Search results for "Statistical Mechanic"

showing 10 items of 707 documents

Critical behavior of a tumor growth model: directed percolation with a mean-field flavor.

2012

We examine the critical behaviour of a lattice model of tumor growth where supplied nutrients are correlated with the distribution of tumor cells. Our results support the previous report (Ferreira et al., Phys. Rev. E 85, 010901 (2012)), which suggested that the critical behaviour of the model differs from the expected Directed Percolation (DP) universality class. Surprisingly, only some of the critical exponents (beta, alpha, nu_perp, and z) take non-DP values while some others (beta', nu_||, and spreading-dynamics exponents Theta, delta, z') remain very close to their DP counterparts. The obtained exponents satisfy the scaling relations beta=alpha*nu_||, beta'=delta*nu_||, and the general…

Time FactorsBiophysicsFOS: Physical sciencesModels BiologicalDiffusionNeoplasmsHumansComputer SimulationScalingCondensed Matter - Statistical MechanicsMathematical physicsMathematicsCell ProliferationProbabilityLattice model (finance)Statistical Mechanics (cond-mat.stat-mech)Condensed matter physicsNeovascularization PathologicRenormalization groupModels TheoreticalDirected percolationDistribution (mathematics)Mean field theoryExponentBlood VesselsCritical exponentMonte Carlo MethodAlgorithmsPhysical review. E, Statistical, nonlinear, and soft matter physics
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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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A Non-WSSUS Mobile-to-Mobile Channel Model Assuming Velocity Variations of the Mobile Stations

2017

This paper aims to characterize the effects that the velocity variations of the mobile stations (MSs) produce on the correlation properties of non-stationary time-frequency (TF) dispersive mobile- to-mobile (M2M) fading channels. Toward that end, we propose a novel geometrical model for non-wide-sense stationary uncorrelated scattering (non-WSSUS) M2M channels that incorporates such variations following a plane wave propagation approach. Capitalizing on the mathematical simplicity of this approach, we derive a general expression for the four-dimensional (4D) TF correlation function (TFCF) of the proposed channel model. From this expression, we analyze the influence of the MSs' acceleration#…

Vehicular communication systemsMobile channelComputer scienceScattering020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologyTopologyExpression (mathematics)UncorrelatedCorrelation function (statistical mechanics)0203 mechanical engineeringComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringFadingSimulationComputer Science::Information TheoryCommunication channel2017 IEEE Wireless Communications and Networking Conference (WCNC)
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Aging Effects in a Lennard-Jones Glass

1997

Using molecular dynamics simulations we study the out of equilibrium dynamic correlations in a model glass-forming liquid. The system is quenched from a high temperature to a temperature below its glass transition temperature and the decay of the two-time intermediate scattering function C(t_w,t+t_w) is monitored for several values of the waiting time t_w after the quench. We find that C(t_w,t+t_w) shows a strong dependence on the waiting time, i.e. aging, depends on the temperature before the quench and, similar to the case of spin glasses, can be scaled onto a master curve.

Waiting timeScattering functionMaterials scienceSpin glassCondensed matter physicsStatistical Mechanics (cond-mat.stat-mech)General Physics and AstronomyThermodynamicsFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksCondensed Matter::Disordered Systems and Neural NetworksCondensed Matter::Soft Condensed MatterMolecular dynamicsCondensed Matter::Statistical MechanicsGlass transitionCondensed Matter - Statistical Mechanics
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Collective behaviours: from biochemical kinetics to electronic circuits

2013

In this work we aim to highlight a close analogy between cooperative behaviors in chemical kinetics and cybernetics; this is realized by using a common language for their description, that is mean-field statistical mechanics. First, we perform a one-to-one mapping between paradigmatic behaviors in chemical kinetics (i.e., non-cooperative, cooperative, ultra-sensitive, anti-cooperative) and in mean-field statistical mechanics (i.e., paramagnetic, high and low temperature ferromagnetic, anti-ferromagnetic). Interestingly, the statistical mechanics approach allows a unified, broad theory for all scenarios and, in particular, Michaelis-Menten, Hill and Adair equations are consistently recovered…

Work (thermodynamics)Biological dataMultidisciplinaryStatistical Mechanics (cond-mat.stat-mech)business.industryComputer scienceKineticsFOS: Physical sciencesAnalogyStatistical mechanicsModels TheoreticalArticleChemical kineticsHumans; Algorithms; Models Theoretical; MultidisciplinaryHumansCyberneticsArtificial intelligenceStatistical physicsElectronicsbusinessAlgorithmsCondensed Matter - Statistical MechanicsElectronic circuitScientific Reports
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2019

Abstract The aim of this work is to present a formulation to solve the one-dimensional Ising model using the elementary technique of mathematical induction. This formulation is physically clear and leads to the same partition function form as the transfer matrix method, which is a common subject in the introductory courses of statistical mechanics. In this way our formulation is a useful tool to complement the traditional more abstract transfer matrix method. The method can be straightforwardly generalised to other short-range chains, coupled chains and is also computationally friendly. These two approaches provide a more complete understanding of the system, and therefore our work can be o…

Work (thermodynamics)Computer science05 social sciences050301 educationGeneral Physics and AstronomyStatistical mechanicsPartition function (mathematics)01 natural sciencesTransfer matrixAlgebraTransfer-matrix method0103 physical sciencesMathematical inductionIsing model010306 general physics0503 educationComplement (set theory)European Journal of Physics
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Phase separation of an asymmetric binary fluid mixture confined in a nanoscopic slit pore: Molecular-dynamics simulations

2008

As a generic model system of an asymmetric binary fluid mixture, hexadecane dissolved in carbon dioxide is considered, using a coarse-grained bead-spring model for the short polymer, and a simple spherical particle with Lennard-Jones interactions for the carbon dioxide molecules. In previous work, it has been shown that this model reproduces the real phase diagram reasonable well, and also the initial stages of spinodal decomposition in the bulk following a sudden expansion of the system could be studied. Using the parallelized simulation package ESPResSo on a multiprocessor supercomputer, phase separation of thin fluid films confined between parallel walls that are repulsive for both types…

Work (thermodynamics)Materials scienceStatistical Mechanics (cond-mat.stat-mech)Spinodal decompositionCenter (category theory)FOS: Physical sciencesHexadecaneCondensed Matter - Soft Condensed MatterMolecular physicschemistry.chemical_compoundMolecular dynamicschemistryPerpendicularSoft Condensed Matter (cond-mat.soft)ParticleStatistical physicsCondensed Matter - Statistical MechanicsPhase diagram
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Zero-range model of traffic flow.

2005

A multi--cluster model of traffic flow is studied, in which the motion of cars is described by a stochastic master equation. Assuming that the escape rate from a cluster depends only on the cluster size, the dynamics of the model is directly mapped to the mathematically well-studied zero-range process. Knowledge of the asymptotic behaviour of the transition rates for large clusters allows us to apply an established criterion for phase separation in one-dimensional driven systems. The distribution over cluster sizes in our zero-range model is given by a one--step master equation in one dimension. It provides an approximate mean--field dynamics, which, however, leads to the exact stationary s…

Work (thermodynamics)Physics - Physics and SocietyStatistical Mechanics (cond-mat.stat-mech)Stochastic processThermodynamicsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Critical valueTraffic flowJMetastabilityMaster equationCluster (physics)ddc:530Statistical physicsStationary stateCondensed Matter - Statistical MechanicsMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Characteristics of the polymer transport in ratchet systems

2010

Molecules with complex internal structure in time-dependent periodic potentials are studied by using short Rubinstein-Duke model polymers as an example. We extend our earlier work on transport in stochastically varying potentials to cover also deterministic potential switching mechanisms, energetic efficiency and non-uniform charge distributions. We also use currents in the non-equilibrium steady state to identify the dominating mechanisms that lead to polymer transportation and analyze the evolution of the macroscopic state (e.g., total and head-to-head lengths) of the polymers. Several numerical methods are used to solve the master equations and nonlinear optimization problems. The domina…

Work (thermodynamics)PolymersRatchetMolecular ConformationFOS: Physical sciencesRatchet effectmolecular motorsNonlinear programmingDiffusionMotionkuljetusilmiötMaster equationmolekyylimoottoritStatistical physicspolymeeritCondensed Matter - Statistical MechanicsPhysicsStochastic ProcessesStatistical Mechanics (cond-mat.stat-mech)Molecular Motor ProteinsNumerical analysisCharge (physics)ratchetsModels Theoreticalnonequilibrium phenomenaKineticsClassical mechanicsräikätepätasapainoilmiöttransport phenomenaAlgorithmsCoherence (physics)Physical Review E
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Crystallization of hard spheres revisited. II. Thermodynamic modeling, nucleation work, and the surface of tension

2018

Combining three numerical methods (forward flux sampling, seeding of droplets, and finite-size droplets), we probe the crystallization of hard spheres over the full range from close to coexistence to the spinodal regime. We show that all three methods allow us to sample different regimes and agree perfectly in the ranges where they overlap. By combining the nucleation work calculated from forward flux sampling of small droplets and the nucleation theorem, we show how to compute the nucleation work spanning three orders of magnitude. Using a variation of the nucleation theorem, we show how to extract the pressure difference between the solid droplet and ambient liquid. Moreover, combining th…

Work (thermodynamics)SpinodalMaterials scienceStatistical Mechanics (cond-mat.stat-mech)010304 chemical physicsNucleationFOS: Physical sciencesGeneral Physics and AstronomyThermodynamicsFluxHard spheresCondensed Matter - Soft Condensed MatterOrders of magnitude (numbers)01 natural scienceslaw.inventionPhysics::Fluid DynamicsSurface tensionlaw0103 physical sciencesSoft Condensed Matter (cond-mat.soft)Physical and Theoretical ChemistryCrystallization010306 general physicsCondensed Matter - Statistical MechanicsThe Journal of Chemical Physics
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