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.…mehr
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.
João Soares is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta and has published more than 180 articles in referred journals, written 12 book chapters, and is an author of the book Polyolefin Reaction Engineering published by Wiley-VCH in 2012. He has offered 27 public and 22 in-house industrial short courses all over the world in his areas of expertise. He is the Editor-in-Chief for the Canadian Journal of Chemical Engineering. He is also a member of the Executive Advisory Board of Wiley-VCH Macromolecular journals and responsible for the coordination of Macromolecular Reaction Engineering. Professor Soares is a Fellow of the Chemical Institute of Canada, and a Professional Engineer in the Provinces of Ontario and Alberta. He is the recipient of various scientific awards and consults for several polyolefin-manufacturing companies in Canada, USA, Europe, Asia, and the Middle East. Amanda Brandão is a PhD student at the Universidade Federal do Rio de Janeiro, working with kinetic of polymerization systems with long chain branches. Her main research interests are: optimal experimental design, modeling and simulation of polymerization systems and optimization of chemical reactors. She got her BSc in Chemical Engineering at Pontifical Catholic University of Rio de Janeiro, and concluded her M.Sc. in Chemical Engineering at Program at Federal University of Rio de Janeiro, working with model discrimination in polymerization systems.
Inhaltsangabe
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
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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