Monte Carlo Methods in Polymer Reaction Engineering
Autor Joao B. P. Soares, Amanda L. T. Brandao, Mohammed Al-Khayyaten Limba Engleză Paperback – 20 ian 2027
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.
Preț: 626.96 lei
Preț vechi: 814.24 lei
-23% Precomandă
Puncte Express: 940
Carte nepublicată încă
Livrare prin curier în România Precomanda se expediază când titlul devine disponibil.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Specificații
ISBN-13: 9783527341085
ISBN-10: 3527341080
Pagini: 240
Dimensiuni: 170 x 244 mm
Editura: Wiley-VCH GmbH
Locul publicării:Weinheim, Germany
ISBN-10: 3527341080
Pagini: 240
Dimensiuni: 170 x 244 mm
Editura: Wiley-VCH GmbH
Locul publicării:Weinheim, Germany
V-ar putea interesa
-
Exploring Monte Carlo MethodsWilliam L. Dunn-32%Preț: 429.45 lei627.55 lei -
Applied Numerical Methods for Chemical EngineersNavid Mostoufi-16%Preț: 470.77 lei561.68 lei -
-23%Preț: 936.32 lei1215.99 lei -
Multiscale Modelling of PolymersDoros N. Theodorou-23%Preț: 566.73 lei736.36 lei -
SimulationSheldon M. Ross-32%Preț: 498.61 lei736.23 lei -
The Elements of Polymer Science and EngineeringAlfred Rudin-29%Preț: 761.98 lei1070.00 lei -
Predictive Modeling in Polymer Science: Properties and PerformanceMohammad Hossein Keshavarz-32%Preț: 852.47 lei1253.10 lei -
Chemical, Biochemical, and Engineering ThermodynamicsStanley I. Sandler-19%Preț: 579.31 lei715.20 lei -
Furan Polymers and Their ReactionsAlessandro Gandini-23%Preț: 731.47 lei949.96 lei -
-23%Preț: 659.41 lei856.37 lei -
Understanding Polymer ProcessingTim A. Osswald-18%Preț: 674.38 lei822.41 lei -
Emerging Technologies in Polymer ProcessingSuprakas Sinha Ray-23%Preț: 864.43 lei1122.64 lei -
-26%Preț: 905.22 lei1227.78 lei -
-31%Preț: 95.45 lei137.36 lei -
Statistics for ScientistsUmberto Michelucci-20%Preț: 275.88 lei344.84 lei -
A Concise Introduction to Polymer PhysicsReinhard Hentschke-11%Preț: 428.27 lei481.21 lei -
Polymer CrystallizationJyotishkumar Parameswaranpillai-14%Preț: 854.41 lei993.51 lei -
Advanced Control Methods for Industrial ProcessesPablo A. López-Pérez-23%Preț: 689.35 lei895.26 lei -
Artificial Intelligence in CatalysisValentine P. Ananikov-23%Preț: 769.37 lei999.19 lei -
Computer Simulation of Polymeric Materials: Applications of the OCTA SystemJapan Association for Chemical Innovation-18%Preț: 924.52 lei1127.46 lei
Public țintă
Polymer Chemists, Chemical Engineers, Ph.D. Students in Material Sciences, Ph.D. Students in Engineering Sciences, Plastics Technologists, Chemical Industry, Materials Scientists, LibrariesNotă biografică
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.
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.
Cuprins
1 Preface
2 Introduction
2.1 The Uniform Distribution and the Generation of Random Numbers
2.2 Polymerizations are Stochastic Processes
2.3 A Preliminary Monte Carlo Simulation Algorithm
2.4 Chain Length and Molecular Weight Averages
2.5 Final Thoughts
2.6 Extra Readings
3 Steady State Monte Carlo Models
3.1 Case Study 3.1: Styrene Free-Radical Polymerization
3.2 Case Study 3.2: Free-Radical Copolymerization of Styrene and Methyl Methacrylate
3.3 Case Study 3.3: Coordination Polymerization with the Formation of Long Chain Branches
3.4 Final Thoughts
3.5 Extra Readings
4 Dynamic Monte Carlo Models
4.1 Case Study 4.1 ? Part 1: Step-Growth Polymerization
4.2 Gillespie?s Method: A Stochastic Approach to Dynamic Simulation
4.3 Case Study 4.1 ? Part 2: Gillespie Algorithm for Step-Growth Polymerization
4.4 Case Study 4.1 ? Part 3: Non-Stoichiometric Step-Growth Polymerization
4.5 Reaction Networks and Competing Events
4.6 How to Select the Size of the Control Volume
4.7 Case Study 4.2: Dynamic Styrene Free-Radical Polymerization with Gel Effect
4.8 Case Study 4.3: ATRP Copolymerization of Styrene and n-Butyl Acrylate
4.9 Case Study 4.4: Thermal Degradation of Polystyrene
4.10 Final Thoughts
4.11 Extra Readings
5 Optimization of Monte Carlo Methods
5.1 Big O Notation and Computational Complexity
5.2 Compilation versus Interpretation
5.3 Homopolymerization Geometric Sampling
5.4 Copolymerization Geometric Sampling
5.5 Minimizing Random Number Generation Overhead
5.6 Balancing Accuracy and Speed
5.7 Disjoint Set Union for Gelation Tracking
5.8 GPU Parallel Computing
5.9 Final Thoughts
5.10 Extra Readings
6 Epilogue: Creating Molecules to Understand Them
6.1 Lessons from Monte Carlo Simulation
6.2 Ten Rules for Writing Monte Carlo Algorithms
6.3 The Expanding Role of Monte Carlo Methods in Polymer Reaction Engineering
6.4 Final Thoughts
Appendix A: Instantaneous Chain Length Distribution (CLD) of Polymers Made by Free Radical Polymerization
2 Introduction
2.1 The Uniform Distribution and the Generation of Random Numbers
2.2 Polymerizations are Stochastic Processes
2.3 A Preliminary Monte Carlo Simulation Algorithm
2.4 Chain Length and Molecular Weight Averages
2.5 Final Thoughts
2.6 Extra Readings
3 Steady State Monte Carlo Models
3.1 Case Study 3.1: Styrene Free-Radical Polymerization
3.2 Case Study 3.2: Free-Radical Copolymerization of Styrene and Methyl Methacrylate
3.3 Case Study 3.3: Coordination Polymerization with the Formation of Long Chain Branches
3.4 Final Thoughts
3.5 Extra Readings
4 Dynamic Monte Carlo Models
4.1 Case Study 4.1 ? Part 1: Step-Growth Polymerization
4.2 Gillespie?s Method: A Stochastic Approach to Dynamic Simulation
4.3 Case Study 4.1 ? Part 2: Gillespie Algorithm for Step-Growth Polymerization
4.4 Case Study 4.1 ? Part 3: Non-Stoichiometric Step-Growth Polymerization
4.5 Reaction Networks and Competing Events
4.6 How to Select the Size of the Control Volume
4.7 Case Study 4.2: Dynamic Styrene Free-Radical Polymerization with Gel Effect
4.8 Case Study 4.3: ATRP Copolymerization of Styrene and n-Butyl Acrylate
4.9 Case Study 4.4: Thermal Degradation of Polystyrene
4.10 Final Thoughts
4.11 Extra Readings
5 Optimization of Monte Carlo Methods
5.1 Big O Notation and Computational Complexity
5.2 Compilation versus Interpretation
5.3 Homopolymerization Geometric Sampling
5.4 Copolymerization Geometric Sampling
5.5 Minimizing Random Number Generation Overhead
5.6 Balancing Accuracy and Speed
5.7 Disjoint Set Union for Gelation Tracking
5.8 GPU Parallel Computing
5.9 Final Thoughts
5.10 Extra Readings
6 Epilogue: Creating Molecules to Understand Them
6.1 Lessons from Monte Carlo Simulation
6.2 Ten Rules for Writing Monte Carlo Algorithms
6.3 The Expanding Role of Monte Carlo Methods in Polymer Reaction Engineering
6.4 Final Thoughts
Appendix A: Instantaneous Chain Length Distribution (CLD) of Polymers Made by Free Radical Polymerization