Search results for "Statistical physics"

showing 10 items of 1402 documents

Genealogies of Interacting Particle Systems

2020

Particle systemPhysicsStatistical physics
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Percolation and Schramm–Loewner evolution in the 2D random-field Ising model

2011

Abstract The presence of random fields is well known to destroy ferromagnetic order in Ising systems in two dimensions. When the system is placed in a sufficiently strong external field, however, the size of clusters of like spins diverges. There is evidence that this percolation transition is in the universality class of standard site percolation. It has been claimed that, for small disorder, a similar percolation phenomenon also occurs in zero external field. Using exact algorithms, we study ground states of large samples and find little evidence for a transition at zero external field. Nevertheless, for sufficiently small random-field strengths, there is an extended region of the phase d…

Percolation critical exponentsRandom fieldStatistical Mechanics (cond-mat.stat-mech)Schramm–Loewner evolutionCondensed matter physicsFOS: Physical sciencesGeneral Physics and AstronomyPercolation thresholdDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksDirected percolationHardware and ArchitecturePercolationIsing modelContinuum percolation theoryStatistical physicsCondensed Matter - Statistical MechanicsMathematicsComputer Physics Communications
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Self-normalized and randomly centered spectral estimates

1996

We review some limit theory for the periodogram and for integrated versions of it and explain the use of random normalizing and centering techniques.

PeriodogramSample autocorrelationSelf normalizedStatistical physicsBrownian bridgeLimit theoryMathematics
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Quantitative prediction of effective material properties of heterogeneous media

1999

Effective electrical conductivity and electrical permittivity of water-saturated natural sandstones are evaluated on the basis of local porosity theory (LPT). In contrast to earlier methods, which characterize the underlying microstructure only through the volume fraction, LPT incorporates geometric information about the stochastic microstructure in terms of local porosity distribution and local percolation probabilities. We compare the prediction of LPT and of traditional effective medium theory with the exact results. The exact results for the conductivity and permittivity are obtained by solving the microscopic mixed boundary value problem for the Maxwell equations in the quasistatic app…

PermittivityPhysicsGeneral Computer ScienceGeneral Physics and AstronomyThermodynamicsGeneral ChemistryComputational Mathematicssymbols.namesakeQuasistatic approximationMaxwell's equationsMechanics of MaterialsPercolationsymbolsGeneral Materials ScienceStatistical physicsBoundary value problemMaterial propertiesPorous mediumPorosityComputational Materials Science
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Characteristic Length Scales and Radial Monomer Density Profiles of Molecular Bottle-Brushes: Simulation and Experiment

2010

Extensive Monte Carlo simulations are presented for bottle-brush polymers under good solvent conditions, using the bond fluctuation model on the simple cubic lattice. Varying the backbone length (from Nb = 67 to Nb = 259 effective monomers) as well as the side chain length (from N = 6 to N = 48), for a physically reasonable grafting density of one chain per backbone monomer, we find that the structure factor describing the total scattering from the bottle-brush provides an almost perfect match for some combinations of (Nb, N) to experimental data of Rathgeber et al. [J. Chem. Phys. 2005, 122, 124904], when we adjust the length scale of the simulation to reproduce the experimental gyration r…

Persistence lengthLength scaleQuantitative Biology::BiomoleculesPolymers and PlasticsCharacteristic lengthChemistryOrganic ChemistryMonte Carlo methodRadiusGyrationMolecular physicsCondensed Matter::Soft Condensed MatterInorganic ChemistryMaterials ChemistrySide chainStatistical physicsStructure factorMacromolecules
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Semiflexible macromolecules in quasi-one-dimensional confinement: Discrete versus continuous bond angles

2015

The conformations of semiflexible polymers in two dimensions confined in a strip of width D are studied by computer simulations, investigating two different models for the mechanism by which chain stiffness is realized. One model (studied by molecular dynamics) is a bead-spring model in the continuum, where stiffness is controlled by a bond angle potential allowing for arbitrary bond angles. The other model (studied by Monte Carlo) is a self-avoiding walk chain on the square lattice, where only discrete bond angles (0° and ±90°) are possible, and the bond angle potential then controls the density of kinks along the chain contour. The first model is a crude description of DNA-like biopolymer…

Persistence lengthQuantitative Biology::BiomoleculesMacromolecular SubstancesPolymersChemistryMonte Carlo methodGeneral Physics and AstronomyMolecular Dynamics SimulationSquare latticePower lawMolecular physicsTransverse planeMolecular dynamicsMolecular geometryLattice (order)Computer SimulationStatistical physicsPhysical and Theoretical ChemistryThe Journal of Chemical Physics
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Breakdown of the Kratky-Porod Wormlike Chain Model for Semiflexible Polymers in Two Dimensions

2011

By large-scale Monte Carlo simulations of semiflexible polymers in $d=2$ dimensions the applicability of the Kratky-Porod model is tested. This model is widely used as "standard model" for describing conformations and force versus extension curves of stiff polymers. It is shown that semiflexible polymers in $d=2$ show a crossover from hard rods to self-avoiding walks, the intermediate Gaussian regime (implied by the Kratky-Porod model) is completely absent. Hence the latter can also describe force versus extension curves only if the contour length is only a few times larger than the persistence length. Consequences for experiments on biopolymers at interfaces are briefly discussed.

Persistence lengthchemistry.chemical_classificationPhysicsQuantitative Biology::BiomoleculesChain modelGaussianMonte Carlo methodCrossoverGeneral Physics and AstronomyFOS: Physical sciencesPolymerCondensed Matter - Soft Condensed MatterRodCondensed Matter::Soft Condensed Mattersymbols.namesakechemistrysymbolsSoft Condensed Matter (cond-mat.soft)Statistical physicsStandard model (cryptography)
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Universal monomer dynamics of a two dimensional semi-flexible chain

2013

We present a unified scaling theory for the dynamics of monomers for dilute solutions of semiflexible polymers under good solvent conditions in the free draining limit. Our theory encompasses the well-known regimes of mean square displacements (MSDs) of stiff chains growing like t^{3/4} with time due to bending motions, and the Rouse-like regime t^{2 \nu / (1+ 2\nu)} where \nu is the Flory exponent describing the radius R of a swollen flexible coil. We identify how the prefactors of these laws scale with the persistence length l_p, and show that a crossover from stiff to flexible behavior occurs at a MSD of order l^2_p (at a time proportional to l^3_p). A second crossover (to diffusive moti…

Persistence lengthchemistry.chemical_classificationPhysicsQuantitative Biology::BiomoleculesScale (ratio)CrossoverFOS: Physical sciencesGeneral Physics and AstronomyPolymerBendingRadiusCondensed Matter - Soft Condensed MatterCondensed Matter::Soft Condensed MatterchemistryChain (algebraic topology)Biological Physics (physics.bio-ph)ExponentSoft Condensed Matter (cond-mat.soft)Statistical physicsPhysics - Biological Physics
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Understanding the Multiple Length Scales Describing the Structure of Bottle-brush Polymers by Monte Carlo Simulation Methods

2011

Bottle-brush polymers contain a long flexible macromolecule as a backbone to which flexible side chains are grafted. Through the choice of the grafting density and the length of the side chains the local stiffness of this cylindrical molecular brush can be controlled, but a quantitative understanding of these phenomena is lacking. Monte Carlo simulation results are presented and discussed which address this issue, extractingmesoscopic length scales (such as the cross-sectional radius, persistence length, and contour length of these objects). Large-scale simulations of the bond fluctuation model are combined with simulations of the simple selfavoiding walk (SAW) model with flexibility contro…

Persistence lengthchemistry.chemical_classificationQuantitative Biology::BiomoleculesMaterials sciencePolymers and PlasticsGaussianOrganic ChemistryMonte Carlo methodRadiusPolymerCondensed Matter PhysicsCondensed Matter::Soft Condensed MatterInorganic Chemistrysymbols.namesakechemistryMaterials ChemistrysymbolsSide chainStatistical physicsWorm-like chainSelf-avoiding walkSimulationMacromolecular Theory and Simulations
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Monte Carlo Simulations of Semi-Flexible Polymers

2005

We present Monte Carlo simulations on the phase behavior of semiflexible macromolecules. For a single chain this question is of biophysical interest given the fact that long and stiff DNA chains are typically folded up into very tight compartments. So one can ask the question how the state diagram of a semiflexible chain differs from the coilglobule behavior of a flexible macromolecule. Another effect connected with rigidity of the chains is their tendency to aggregate and form nematically ordered structures. As a consequence one has two competing phase transitions: a gas-liquid and an isotropic-nematic transition potentially giving rise to a complicated phase diagram.

Persistence lengthchemistry.chemical_classificationQuantitative Biology::BiomoleculesPhase transitionChemistryMonte Carlo methodSingle chainPolymerQuantitative Biology::Subcellular ProcessesCondensed Matter::Soft Condensed MatterRigidity (electromagnetism)Statistical physicsMacromoleculePhase diagram
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