Monte Carlo Methods in Polymer Reaction Engineering
Fundamentals, Applications and Case Studies
Monte Carlo Methods in Polymer Reaction Engineering
Fundamentals, Applications and Case Studies
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.
Introduction
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.
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
Soares, Joao B. P.
Brandao, Amanda L. T.
| ISBN | 9783527341085 |
|---|---|
| Media type | Book |
| Edition number | 1. Auflage |
| Copyright year | 2026 |
| Publisher | Wiley-VCH |
| Length | 400 pages |
| Illustrations | 200 SW-Abb., 50 Farbabb. |
| Language | English |
