Dynamic Monte Carlo Simulations Of Isolated Polymer Chains Using Lattice Models PDF Download

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Monte Carlo Simulations to Study the Effect of Chain Stiffness on Static, Dynamic, and Equation-of-state Properties of Polymer Melts

Monte Carlo Simulations to Study the Effect of Chain Stiffness on Static, Dynamic, and Equation-of-state Properties of Polymer Melts
Author: Kiran Khanal
Publisher:
Total Pages: 77
Release: 2009
Genre: Monte Carlo method
ISBN:

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"Static and dynamic properties of polymers are affected by the stiffness of the chain molecules. In this work, we investigate static and dynamic properties of a lattice model for semiflexible polymer chains. The model is an extension of Shaffer's bond-fluctuation model and includes attractive interactions between monomers and an adjustable bending energy that determines the Kuhn segment length. For this work, we performed Monte Carlo simulations for polymer melts with a range of values of the bending energy, density, and temperature. We find that the Kuhn segment length increases monotonically with the bending energy for a wide range of bending energies. This allows us to model melts of flexible and semiflexible chains. Results for self diffusion coefficients show that the translational mobility is strongly reduced by increasing chain stiffness. We implemented a bead insertion method and a chain insertion method to calculate the pressure of the melts. While chain insertion is a reliable method to determine the pressure at low filling fractions of the lattice, it becomes very inefficient at higher densities. Bead insertion, on the other hand, yields good statistics, even at high densities, but the evaluation depends on an assumption that breaks down for semiflexible chains. We find that bead and chain insertion give comparable results for the pressure of melts of flexible chains at sufficiently high densities."--Abstract.


A Guide to Monte Carlo Simulations in Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics
Author: David P. Landau
Publisher: Cambridge University Press
Total Pages: 489
Release: 2009-09-10
Genre: Mathematics
ISBN: 0521768489

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This book expands the topic of Monte Carlo simulation for graduate students and researchers in physics.


Computer Simulation of the Static and Dynamic Properties of a Polymer Chain

Computer Simulation of the Static and Dynamic Properties of a Polymer Chain
Author:
Publisher:
Total Pages: 40
Release: 1981
Genre:
ISBN:

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We have carried out computer simulations of the statics and dynamics of an isolated model polymer chain with excluded volume in a solvent acting as a heat bath. We find that the disbribution function for the separation of a pair of beads scales as the number of beads N to the power [nu] and that edge effects are small. The dynamical correlation functions, such as that of the end-to-end vector, scale as N{sup 2[nu]+1} with [nu] ~ 0.6. The results of a dynamical lattice polymer model are shown to be consistent with the present results if one adjusts the time scales in such a way that the center of mass diffuses at the same rate in the two models. The relaxation of the stress tensor, is shown to be quite similar to that of the Rouse model. Finally, it is shown that edge effects are much more pronounced in the diffusive motion of the individual beads, there being a skin comprising about 30% of the total polymer, where bead motion is relatively quicker.


Masters Theses in the Pure and Applied Sciences

Masters Theses in the Pure and Applied Sciences
Author: Wade H. Shafer
Publisher: Springer Science & Business Media
Total Pages: 391
Release: 2012-12-06
Genre: Science
ISBN: 1461524539

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Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the though that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemi nation. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 37 (thesis year 1992) a total of 12,549 thesis titles from 25 Canadian and 153 United States universities. We are sure that this broader base for these titles reported will greatly enhance the value of this impor tant annual reference work. While Volume 37 reports theses submitted in 1992, on occasion, certain uni versities do report theses submitted in previous years but not reported at the time.


The Monte Carlo Method in Condensed Matter Physics

The Monte Carlo Method in Condensed Matter Physics
Author: Kurt Binder
Publisher: Springer Science & Business Media
Total Pages: 406
Release: 2012-12-06
Genre: Science
ISBN: 3662028557

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The Monte Carlo method is now widely used and commonly accepted as an important and useful tool in solid state physics and related fields. It is broadly recognized that the technique of "computer simulation" is complementary to both analytical theory and experiment, and can significantly contribute to ad vancing the understanding of various scientific problems. Widespread applications of the Monte Carlo method to various fields of the statistical mechanics of condensed matter physics have already been reviewed in two previously published books, namely Monte Carlo Methods in Statistical Physics (Topics Curro Phys. , Vol. 7, 1st edn. 1979, 2ndedn. 1986) and Applications of the Monte Carlo Method in Statistical Physics (Topics Curro Phys. , Vol. 36, 1st edn. 1984, 2nd edn. 1987). Meanwhile the field has continued its rapid growth and expansion, and applications to new fields have appeared that were not treated at all in the above two books (e. g. studies of irreversible growth phenomena, cellular automata, interfaces, and quantum problems on lattices). Also, new methodic aspects have emerged, such as aspects of efficient use of vector com puters or parallel computers, more efficient analysis of simulated systems con figurations, and methods to reduce critical slowing down at i>hase transitions. Taken together with the extensive activity in certain traditional areas of research (simulation of classical and quantum fluids, of macromolecular materials, of spin glasses and quadrupolar glasses, etc.


A Guide to Monte Carlo Simulations in Statistical Physics

A Guide to Monte Carlo Simulations in Statistical Physics
Author: David Landau
Publisher: Cambridge University Press
Total Pages: 583
Release: 2021-07-29
Genre: Mathematics
ISBN: 110849014X

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Unique coverage of Monte Carlo methods for both continuum and lattice systems, explaining particularly analysis of phase transitions.