Details

Modeling Chemical Systems using Cellular Automata


Modeling Chemical Systems using Cellular Automata



von: Lemont B. Kier, Paul G. Seybold, Chao-Kun Cheng

149,79 €

Verlag: Springer
Format: PDF
Veröffentl.: 23.02.2006
ISBN/EAN: 9781402036903
Sprache: englisch
Anzahl Seiten: 176

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p><b>Modeling Chemical Systems using Cellular Automata </b>provides a practical introduction to an exciting modeling paradigm for complex systems. The book first discusses the nature of scientific inquiry using models and simulations, and then describes the nature of cellular automata models. It then gives detailed descriptions, with examples and exercises, of how cellular automata models can be used in the study of a wide variety chemical, physical, and biochemical phenomena. Topics covered include models of water itself, solution phenomena, solution interactions with stationary systems, first- and second-order kinetic phenomena, enzyme kinetics, vapor-liquid equilibrium, and atomic and molecular excited-state kinetics. The student experiences these systems through hands-on examples and guided studies. <br><br>This book is the first of its kind: a textbook and a laboratory manual about cellular automata modeling of common systems in chemistry. The book is designed to be used as a text in undergraduate courses dealing with complex systems and/or as a computational supplement to laboratory courses taught at the undergraduate level. <br><br>The book includes: <br><br>- Compact descriptions of a large variety of physical and chemical phenomena <br><br>- Illustrative examples of simulations, with exercises for further study <br><br>- An instructor's manual for use of the program <br><br>The book will be of great value in undergraduate courses in chemistry, physics, biology, applied mathematics, and bioinformatics, and as a supplement for laboratory courses in introductory chemistry, organic chemistry, physical chemistry, medicinal chemistry, chemical engineering and other courses dealing with statistical and dynamic systems. It allows the exploration of a wide range of dynamic phenomena, many of which are not normally accessible within conventional laboratory settings due to limitations of time, cost, and experimental equipment. </p><p>The book is both a textbook on applied Cellular Automata and a lab manual for chemistry (physics, engineering) courses with lab activity. It would supplement other lab work and be an additonal book the students would use in the course.</p><p>The authors have assessed the emerging need for this kind of activity in science labs because of the cost of the practical activitites and the frequent failure of some exercises leading to lost didactic value of some experiments. This book is pioneering an alternative that will grow in use.</p><p>There are no course directors who would use Cellular Automata exclusively. The authors see an emerging interest in this kind of work in courses that contain lab exercises. One such course is the graduate course that Lemont Kier gives in Life Sciences about complexity. He uses many examples and studies from Cellular Automata in the latter part of this course.</p><p><br><br></p>
<p><b>Modeling Chemical Systems using Cellular Automata </b>provides a practical introduction to an exciting modeling paradigm for complex systems. The book first discusses the nature of scientific inquiry using models and simulations, and then describes the nature of cellular automata models. It then gives detailed descriptions, with examples and exercises, of how cellular automata models can be used in the study of a wide variety chemical, physical, and biochemical phenomena. Topics covered include models of water itself, solution phenomena, solution interactions with stationary systems, first- and second-order kinetic phenomena, enzyme kinetics, vapor-liquid equilibrium, and atomic and molecular excited-state kinetics. The student experiences these systems through hands-on examples and guided studies.</p><p>This book is the first of its kind: a textbook and a laboratory manual about cellular automata modeling of common systems in chemistry. The book is designed to be used as a text in undergraduate courses dealing with complex systems and/or as a computational supplement to laboratory courses taught at the undergraduate level. <br><br>The book includes: </p><p>- Compact descriptions of a large variety of physical and chemical phenomena <br>- Illustrative examples of simulations, with exercises for further study <br>- An instructor's manual for use of the program. <br><br>The book will be of great value in undergraduate courses in chemistry, physics, biology, applied mathematics, and bioinformatics, and as a supplement for laboratory courses in introductory chemistry, organic chemistry, physical chemistry, medicinal chemistry, chemical engineering and other courses dealing with statistical and dynamic systems. It allows the exploration of a wide range of dynamic phenomena, many of which are not normally accessible within conventional laboratory settings due to limitations of time, cost, and experimental equipment. </p><p>The book is both a textbook on applied Cellular Automata and a lab manual for chemistry (physics, engineering) courses with lab activity. It would supplement other lab work and be an additonal book the students would use in the course.</p><p>The authors have assessed the emerging need for this kind of activity in science labs because of the cost of the practical activitites and the frequent failure of some exercises leading to lost didactic value of some experiments. This book is pioneering an alternative that will grow in use.</p><p>The authors see an emerging interest in this kind of work in courses that contain lab exercises. One such course is the graduate course that Lemont Kier gives in Life Sciences about complexity. He uses many examples and studies from Cellular Automata in the latter part of this course.</p>
<P>Preface.- <BR><STRONG>Modeling Nature:</STRONG> The System. States of the System. Models in Chemistry.-<BR><STRONG>Cellular Automata:</STRONG> What are Cellular Automata. The Grid and the Cells. The Rules. Running a Simulation. The Output. Putting it all Together. Applications.- <BR><STRONG>Water as a System:</STRONG> Experimental Design. The Movement Rules. The Attributes Recorded. Other Liquids. Applications.- <BR><STRONG>Solution Systems:</STRONG> The Rules. Applications.- <BR><STRONG>Dynamic Aqueous Systems:</STRONG> Oil-Water Demixing. Micelle Formation. Crystal Formation. Percolation.- <BR><STRONG>Water Surface Effects:</STRONG> Water-Surface Encounters. Chromatography. Membrane Permeability.- <BR><STRONG>First Order Chemical Kinetics:</STRONG> Exponential Decay. First Order Equilibrium. Series Reactions. Parallel Reactions. Kinetic and Thermodynamic Reaction Control.- <BR><STRONG>Second Order Chemical Kinetics:</STRONG> Second Order Models.- <BR>Additional Applications in Chemical Kinetics: Enzyme Kinetics. Liquid-Vapor Equilibrium.- <BR><STRONG>Use of the CASim Program:</STRONG> The System and Program. Organization of the CA Program. Setting up a Simulation.- <BR>Index.- CD Rom included.</P>
<p>Molecular Modeling using Cellular Automata provides a practical introduction to an exciting modeling paradigm for complex systems. The book first discusses the nature of scientific inquiry using models and simulations, and then describes the nature of cellular automata models. It then gives detailed descriptions, with examples and exercises, of how cellular automata models can be used in the study of a wide variety chemical, physical, and biochemical phenomena. Topics covered include models of water itself, solution phenomena, solution interactions with stationary systems, first- and second-order kinetic phenomena, enzyme kinetics, vapor-liquid equilibrium, and atomic and molecular excited-state kinetics. The student experiences these systems through hands-on examples and guided studies. <br>This book is the first of its kind: a textbook and a laboratory manual about cellular automata modeling of common systems in chemistry. The book is designed to be used as a text in undergraduate courses dealing with complex systems and/or as a computational supplement to laboratory courses taught at the undergraduate level. <br>The book includes: <br>- Compact descriptions of a large variety of physical and chemical phenomena <br>- Illustrative examples of simulations, with exercises for further study <br>- An instructor's manual for use of the program <br>The book will be of great value in undergraduate courses in chemistry, physics, biology, applied mathematics, and bioinformatics, and as a supplement for laboratory courses in introductory chemistry, organic chemistry, physical chemistry, medicinal chemistry, chemical engineering and other courses dealing with statistical and dynamic systems. It allows the exploration of a wide range of dynamic phenomena, many of which are not normally accessible within conventional laboratory settings due to limitations of time, cost, and experimental equipment. <br />The book is both a textbook on applied Cellular Automata and a lab manual for chemistry (physics, engineering) courses with lab activity. It would supplement other lab work and be an additonal book the students would use in the course.<br>The authors have assessed the emerging need for this kind of activity in science labs because of the cost of the practical activitites and the frequent failure of some exercises leading to lost didactic value of some experiments. This book is pioneering an alternative that will grow in use.<br>There are no course directors who would use Cellular Automata exclusively. The authors see an emerging interest in this kind of work in courses that contain lab exercises. One such course is the graduate course that Lemont Kier gives in Life Sciences about complexity. He uses many examples and studies from Cellular Automata in the latter part of this course.</p>
<p>There are few publications on Cellular Automata and certainly no direct competition</p><p>Insight into a new modeling paradigm</p><p>Novel approach to the use of in silico modeling to replace or supplement costly labs</p>

Diese Produkte könnten Sie auch interessieren:

Chemistry for the Protection of the Environment 4
Chemistry for the Protection of the Environment 4
von: Robert Mournighan, Marzenna R. Dudzinska, John Barich, Marjorie A. Gonzalez, Robin K. Black
PDF ebook
223,63 €
Combinatorial Methods for Chemical and Biological Sensors
Combinatorial Methods for Chemical and Biological Sensors
von: Radislav A. Potyrailo, Vladimir M. Mirsky
PDF ebook
117,69 €
Modern Formal Methods and Applications
Modern Formal Methods and Applications
von: Hossam A. Gabbar
PDF ebook
149,79 €