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Monte Carlo Models Applied to Polymer Reaction Engineering. A Tutorial

  • ID: 4473319
  • Book
  • June 2019
  • Region: Global
  • 400 Pages
  • John Wiley and Sons Ltd
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This first practical approach to introduce Monte Carlo methods to those working in polymer science makes use of case studies to present a unified and comprehensive overview of various methods.

The author, one of the leading experts in the field, teaches readers how to program Monte Carlo algorithms to solve their own specific problems in polymer reaction engineering, starting with simple principles and moving on to more complex examples. Additional educational software is available online.

The handbook is aimed at polymer scientists and engineers in academia and industry, but is of equal interest to PhD students.
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Introduction

The statistical nature of polymerization and Markov processes

Steady state MC methods

The chemical master equation

Stochastic simulation algorithms

The direct method

The first reaction method

The next reaction method

The optimized reaction method

The sorting direct method

Extensions of stochastic simulation algorithms

Tau–leaping methods

MC methods for stiff systems

Hybrid Deterministic/MC Methods

Concluding remarks

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Joao B. P. Soares
Amanda L. Brandao
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