Monte Carlo Applications in Polymer Science
Title | Monte Carlo Applications in Polymer Science PDF eBook |
Author | W. Bruns |
Publisher | Springer Science & Business Media |
Pages | 188 |
Release | 2012-12-06 |
Genre | Science |
ISBN | 3642931952 |
Monte Carlo and Molecular Dynamics Simulations in Polymer Science
Title | Monte Carlo and Molecular Dynamics Simulations in Polymer Science PDF eBook |
Author | Kurt Binder |
Publisher | Oxford University Press |
Pages | 602 |
Release | 1995-08-03 |
Genre | Science |
ISBN | 0195357469 |
Written by leading experts from around the world, Monte Carlo and Molecular Dynamics Simulations in Polymer Science comprehensively reviews the latest simulation techniques for macromolecular materials. Focusing in particular on numerous new techniques, the book offers authoritative introductions to solutions of neutral polymers and polyelectrolytes; dynamics of polymer melts, rubbers and gels, and glassy materials; thermodynamics of polymer mixing and mesophase formation, and polymers confined at interfaces and grafted to walls. Throughout, contributors offer practical advice on how to overcome the unique challenges posed by the large size and slow relaxation of polymer coils. Students and researchers in polymer chemistry, polymer physics, chemical engineering, and materials and computational science will all benefit from the cogent, step-by-step introductions contained in this important new book.
Theory, Application, and Implementation of Monte Carlo Method in Science and Technology
Title | Theory, Application, and Implementation of Monte Carlo Method in Science and Technology PDF eBook |
Author | |
Publisher | |
Pages | |
Release | 2019 |
Genre | |
ISBN | 9781789855463 |
Polymer Science and Innovative Applications
Title | Polymer Science and Innovative Applications PDF eBook |
Author | Mariam Al Ali AlMaadeed |
Publisher | Elsevier |
Pages | 674 |
Release | 2020-05-29 |
Genre | Technology & Engineering |
ISBN | 0128173033 |
Polymer Science and Innovative Applications: Materials, Techniques, and Future Developments introduces the science of innovative polymers and composites, their analysis via experimental techniques and simulation, and their utilization in a variety of application areas. This approach helps to unlock the potential of new materials for product design and other uses. The book also examines the role that these applications play in the human world, from pollution and health impacts, to their potential to make a positive contribution in areas including environmental remediation, medicine and healthcare, and renewable energy. Advantages, disadvantages, possibilities, and challenges relating to the utilization of polymers in human society are included. - Presents the latest advanced applications of polymers and their composites and identifies key areas for future development - Introduces the simulation methods and experimental techniques involved in the modification of polymer properties, supported by clear and detailed images and diagrams - Supports an interdisciplinary approach, enabling readers across different fields to harness the power of new materials for innovative applications
A Guide to Monte Carlo Simulations in Statistical Physics
Title | A Guide to Monte Carlo Simulations in Statistical Physics PDF eBook |
Author | David P. Landau |
Publisher | Cambridge University Press |
Pages | 402 |
Release | 2000-08-17 |
Genre | Mathematics |
ISBN | 9780521653664 |
This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, as well as in related fields, such as polymer science and lattice gauge theory. The authors give a succinct overview of simple sampling methods and develop the importance sampling method. In addition they introduce quantum Monte Carlo methods, aspects of simulations of growth phenomena and other systems far from equilibrium, and the Monte Carlo Renormalization Group approach to critical phenomena. The book includes many applications, examples, and current references, and exercises to help the reader.
Monte Carlo Simulation in Statistical Physics
Title | Monte Carlo Simulation in Statistical Physics PDF eBook |
Author | Kurt Binder |
Publisher | Springer Science & Business Media |
Pages | 201 |
Release | 2013-11-11 |
Genre | Science |
ISBN | 366230273X |
When learning very formal material one comes to a stage where one thinks one has understood the material. Confronted with a "realiife" problem, the passivity of this understanding sometimes becomes painfully elear. To be able to solve the problem, ideas, methods, etc. need to be ready at hand. They must be mastered (become active knowledge) in order to employ them successfully. Starting from this idea, the leitmotif, or aim, of this book has been to elose this gap as much as possible. How can this be done? The material presented here was born out of a series of lectures at the Summer School held at Figueira da Foz (Portugal) in 1987. The series of lectures was split into two concurrent parts. In one part the "formal material" was presented. Since the background of those attending varied widely, the presentation of the formal material was kept as pedagogic as possible. In the formal part the general ideas behind the Monte Carlo method were developed. The Monte Carlo method has now found widespread appli cation in many branches of science such as physics, chemistry, and biology. Because of this, the scope of the lectures had to be narrowed down. We could not give a complete account and restricted the treatment to the ap plication of the Monte Carlo method to the physics of phase transitions. Here particular emphasis is placed on finite-size effects.
Computational Materials Science
Title | Computational Materials Science PDF eBook |
Author | Kaoru Ohno |
Publisher | Springer Science & Business Media |
Pages | 342 |
Release | 1999-08-18 |
Genre | Science |
ISBN | 9783540639619 |
Powerful computers now enable scientists to model the physical and chemical properties and behavior of complex materials using first principles. This book introduces dramatically new computational techniques in materials research, specifically for understanding molecular dynamics.