Search results for "Monte Carlo method."

showing 10 items of 1217 documents

Competition between liquid-crystalline ordering and glassy freezing in melts of semiflexible polymers: A monte carlo simulation

1999

We present results of a Monte Carlo simulation of dense melts of semiflexible polymers using the bond-fluctuation model. The chosen Hamiltonian increases the chain stiffness upon cooling which in turn leads to glass-transition like freezing of the polymer mobility. Employing an efficient simulation algorithm, which is able to equilibrate the simulated systems to lower temperature than the Rouse-type algorithm showing the glassy freezing, we are able to observe an isotropic-nematic phase transition. This transition lies above the glass transition temperature one would extrapolate from the observed freezing behavior.

chemistry.chemical_classificationQuantitative Biology::BiomoleculesPhase transitionPolymers and PlasticsChemistryLiquid crystallineOrganic ChemistryMonte Carlo methodThermodynamicsStiffnessPolymerCondensed Matter PhysicsCondensed Matter::Soft Condensed Mattersymbols.namesakeSimulation algorithmMaterials Chemistrymedicinesymbolsmedicine.symptomHamiltonian (quantum mechanics)Glass transitionMacromolecular Symposia
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Monte-Carlo Simulation of 3-Dimensional Glassy Polymer Melts: Reptation Versus Single Monomer Dynamics

1995

A polymer melt is simulated at finite temperature by the Monte-Carlo method. We use a coarse-grained model for the polymer system, the bond-fluctuation model. Static properties of the melt can be obtained by generating configurations not with single-monomer- dynamics which moves individual monomers locally, but reptation-dynamics which allows collec- tive motion of the chains. This algorithm can produce equilibrated configurations much faster. It is demonstrated that static properties do not differ from those obtained by single-monomer- dynamics. Values of the radius of gyration, the mean square bond length and similar quantities for different temperatures and densities are presented.

chemistry.chemical_classificationQuantitative Biology::BiomoleculesPhysics and Astronomy (miscellaneous)Dynamics (mechanics)Monte Carlo methodGeneral EngineeringThermodynamicsPolymerAtomic and Molecular Physics and OpticsCondensed Matter::Soft Condensed MatterBond lengthchemistry.chemical_compoundReptationMonomerchemistryRadius of gyrationStatistical physicsPolymer meltJournal de Physique II
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Conformational Properties of Polymer Mushrooms Under Spherical and Cylindrical Confinement

2010

A coarse grained model of a flexible macromolecule end-grafted on the inside of a sphere or a cylinder under good solvent conditions is studied by Monte Carlo simulations. For cylindrical confinement, two regimes are found: when the cylinder radius R exceeds the gyration radius R 90 of the polymer mushroom grafted to a planar surface, a simple scaling description holds. In the opposite case, a non-monotonic crossover to a cigar-like quasi-one-dimensional structure occurs, and the distribution P e (x) of the free chain end in the x-direction along the cylinder axis becomes bimodal. Spherical confinement, on the other hand, causes a crossover from dilute to semidilute behavior of the structur…

chemistry.chemical_classificationQuantitative Biology::BiomoleculesPolymers and PlasticsChemistryOrganic ChemistryMonte Carlo methodPolymerRadiusCondensed Matter PhysicsMolecular physicsGyrationCondensed Matter::Soft Condensed MatterInorganic ChemistryPlanarMaterials ChemistryRadius of gyrationCylinderStatistical physicsScalingMacromolecular Theory and Simulations
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Static and Dynamic Properties of Adsorbed Chains at Surfaces:  Monte Carlo Simulation of a Bead-Spring Model

1996

The adsorption of flexible polymers from dilute solution in good solvents at attractive walls is studied by Monte Carlo simulation of a coarse-grained off-lattice model, varying chain length N and ...

chemistry.chemical_classificationQuantitative Biology::BiomoleculesPolymers and PlasticsChemistryOrganic ChemistryMonte Carlo methodThermodynamicsPolymerSpring (mathematics)Condensed Matter::Soft Condensed MatterInorganic ChemistryBead (woodworking)Chain lengthAdsorptionMaterials ChemistryStatistical physicsPhysics::Chemical PhysicsMacromolecules
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Brownian dynamics simulation of grafted polymer brushes

1995

We present results of computer simulations by the method of Brownian dynamics of polymeric brushes attached to impenetrable planes. For testing both model and method we have used one polymer brush attached to a repulsive plane and compare some results with Monte Carlo results of Lai and Binder on the bond fluctuation model. We have also studied two polymeric brushes attached to two parallel planes at different distances between planes, and investigate the interplay between the interpenetration of the brushes and the configurational properties of the grafted chains.

chemistry.chemical_classificationQuantitative Biology::BiomoleculesPolymers and PlasticsChemistryPlane (geometry)Organic ChemistryMonte Carlo methodPolymerCondensed Matter PhysicsPolymer brushdigestive systemCondensed Matter::Soft Condensed MatterInorganic ChemistryComputer Science::GraphicsIntermolecular interactionChemical physicsMaterials ChemistryBrownian dynamicsStatistical physicsStructure factorBond fluctuation modelMacromolecular Theory and Simulations
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Structure of a bidisperse polymer brush: Monte Carlo simulation and self-consistent field results

1992

Using the bond-fluctuation model, Monte Carlo simulations are performed for polymer brushes composed of chains of two different chain lengths under good solvent condition. Profiles of monomer density and free end density, chain linear dimensions, and average monomer position along a chain are studied. Quantities measured in the simulations are derived from the analytic self-consistent field (SCF) theory and compared with the simulation data. The structural properties can be quite accurately described by the theory only when both the long and short chains are stretched

chemistry.chemical_classificationQuantitative Biology::BiomoleculesPolymers and PlasticsField (physics)Organic ChemistryMonte Carlo methodStructure (category theory)PolymerPolymer brushMolecular physicsCondensed Matter::Soft Condensed MatterInorganic Chemistrychemistry.chemical_compoundMonomerChain (algebraic topology)chemistryPosition (vector)Materials ChemistryStatistical physicsMacromolecules
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Comb-Branched Polymers:  Monte Carlo Simulation and Scaling

1996

The Monte Carlo simulation technique (the bond fluctuation model) has been used for the study of the equilibrium conformations of comb-branched polymers consisting of a long flexible main chain and side chains grafted at a regular separation onto the main chain. The solvent has been supposed to be good (athermal) for the main and side chains. The global conformation and the gyration radius of the polymer, as well as the local conformational structure of the comb, have been analyzed as functions of the length of the side chains and spacers. The effect of induced rigidity of the comb due to the interaction between side chains has been observed. We have found the results of the simulation to b…

chemistry.chemical_classificationQuantitative Biology::BiomoleculesPolymers and PlasticsOrganic ChemistryMonte Carlo methodPhysics::OpticsPolymerGyrationCondensed Matter::Soft Condensed MatterInorganic ChemistryRigidity (electromagnetism)chemistryChemical physicsMaterials ChemistrySide chainRadius of gyrationStatistical physicsScalingBond fluctuation modelMacromolecules
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Monte Carlo simulations of the polymer glass transition: From the test of theories to material modeling

1997

We present results on the glass transition in polymer melts using Monte Carlo simulations of the bond fluctuation lattice model. There are two questions we address in this work. What is the temperature dependence of the entropy density in such a model polymer melt and how well is it described by theories like the Gibbs-DiMarzio theory of the glass transition? And to what degree is one able to map the Hamiltonian of such an abstract lattice model onto a specific polymer material and use it to model the large scale and long time properties of a realistic polymer melt?

chemistry.chemical_classificationQuantitative Biology::BiomoleculesPolymers and PlasticsOrganic ChemistryMonte Carlo methodThermodynamicsPolymerCondensed Matter PhysicsCondensed Matter::Soft Condensed Mattersymbols.namesakeEntropy densitychemistryMaterials ChemistrysymbolsHamiltonian (quantum mechanics)Glass transitionPolymer meltMacromolecular Symposia
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How does the pattern of grafting points influence the structure of one-component and mixed polymer brushes?

2005

Using Monte Carlo simulations of a coarse-grained bead-spring model we study the lateral structure formation of one-component polymer brushes in a bad solvent and of a mixed polymer brush upon increasing the incompatibility of the two species. We compare the morphology of the brush with a regular distribution of grafting points and with a random arrangement. Density or composition fluctuations of the grafting points enhance the formation of irregular structures but randomness prevents the formation of long-range order. Even small fluctuations of the grafting points are sufficient to pin the lateral structures of the brush.

chemistry.chemical_classificationQuantitative Biology::BiomoleculesStructure formationMaterials scienceMorphology (linguistics)Monte Carlo methodGeneral Physics and AstronomyBrushNanotechnologyPolymerPolymer brushGraftinglaw.inventionCondensed Matter::Soft Condensed MatterComputer Science::GraphicschemistrylawComposite materialRandomnessEurophysics Letters (EPL)
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Entropy theory and glass transition: A test by Monte Carlo simulation

1997

This article reviews the results of a test of the Gibbs-DiMarzio theory by Monte Carlo Simulation. The simulation employed the bond-fluctuation model on a simple cubic lattice. This model incorporates two kinds of interactions: the excluded volume interaction among all monomers of the melt and an internal energy of the chains, which favors large bonds and makes the chains stiffen with decreasing temperature. The stiffening of the chains leads to an increase of their volume requirements, which competes with the packing constraints at low temperatures. This competition strongly slows down the structural relaxation of the melt and induces the glassy behavior. The model therefore takes into acc…

chemistry.chemical_classificationQuantitative Biology::Biomoleculesbond-fluctuation modelMaterials scienceInternal energyMonte Carlo methodGibbs-DiMarzio theoryGeneral EngineeringThermodynamicsSimple cubic latticePolymerArticleStiffeningCondensed Matter::Soft Condensed Matterentropy measurementchemistryExcluded volumeAdam-Gibbs theoryEntropy (information theory)chemical potentialglass transitionStatistical physicsdiffusion coefficientGlass transitionMonte Carlo simulation
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