Stochastic Processes in Polymeric Fluids
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Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms

Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms

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About the Book

A SPECTER is haunting the scientific world-the specter of com­ puters. All the powers of traditional science have entered into a holy alliance to exorcise this specter: puristic theoreticians and tradition­ alistic experimentalists, editors and referees of prestigious journals, philosophers of science and mathematicians. Where is a pioneering computer simulation that has not been decried as unreliable by its opponents in power? The Computer Manifesto As a result of the enormous progress in computer technology made during the last few decades, computer simulations have become a very powerful and widely applicable tool in science and engineering. The main purpose of this . book is a comprehensive description of the background and possibilities for the application of computer simulation techniques in polymer fluid dynamics. Mod­ eling and understanding the flow behavior of polymeric liquids on the kinetic theory level is not merely a great intellectual challenge but rather a matter of immense practical importance, for example, in connection with plastics manu­ facture, processing of foods, and movement of biological fluids. The classical computer simulation technique for static problems in statis­ tical mechanics is the Monte Carlo method developed in the early 1950s. The name of this method underlines how unusual and strange the idea of using ran­ dom numbers in the exact sciences is at first glance. However, the Monte Carlo method is a rigorous and efficient means for evaluating moments and static spa­ tial correlation functions for given probability distributions.

Table of Contents:
1 Stochastic Processes, Polymer Dynamics, and Fluid Mechanics.- 1.1 Approach to Kinetic Theory Models.- 1.2 Flow Calculation and Material Functions.- References.- I Stochastic Processes.- 2 Basic Concepts from Stochastics.- 3 Stochastic Calculus.- II Polymer Dynamics.- 4 Bead-Spring Models for Dilute Solutions.- 5 Models with Constraints.- 6 Reptation Models for Concentrated Solutions and Melts.- Landmark Papers and Books.- Solutions to Exercises.- References.- Author Index.


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Product Details
  • ISBN-13: 9783540583530
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publisher Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Height: 235 mm
  • No of Pages: 362
  • Returnable: Y
  • Width: 155 mm
  • ISBN-10: 354058353X
  • Publisher Date: 13 Nov 1995
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Tools and Examples for Developing Simulation Algorithms


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