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Dynamics of Self-Organized and Self-Assembled Structures

Rashmi C. Desai (University of Toronto) Raymond Kapral (University of Toronto)

$136.95

Hardback

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English
Cambridge University Press
18 May 2009
Physical and biological systems driven out of equilibrium may spontaneously evolve to form spatial structures. In some systems molecular constituents may self-assemble to produce complex ordered structures. This book describes how such pattern formation processes occur and how they can be modeled. Experimental observations are used to introduce the diverse systems and phenomena leading to pattern formation. The physical origins of various spatial structures are discussed, and models for their formation are constructed. In contrast to many treatments, pattern-forming processes in nonequilibrium systems are treated in a coherent fashion. The book shows how near-equilibrium and far-from-equilibrium modeling concepts are often combined to describe physical systems. This inter-disciplinary book can form the basis of graduate courses in pattern formation and self-assembly. It is a useful reference for graduate students and researchers in a number of disciplines, including condensed matter science, nonequilibrium statistical mechanics, nonlinear dynamics, chemical biophysics, materials science, and engineering.

By:   ,
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Dimensions:   Height: 254mm,  Width: 179mm,  Spine: 20mm
Weight:   830g
ISBN:   9780521883610
ISBN 10:   052188361X
Pages:   342
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Rashmi C. Desai is Professor Emeritus of Physics at the University of Toronto. Raymond Kapral is Professor of Chemistry at the University of Toronto.

Reviews for Dynamics of Self-Organized and Self-Assembled Structures

'I recommend this book. It is a practical no-nonsense cookbook which should be on the bookshelves of graduate students in this area.' Martin Grant, Physics in Canada 'The authors made a significant effort to describe the main principles of pattern formatio in a transparent manner … The book is generously illustrated and has a useful index … a useful reference for graduate students and researchers in many fields including nonlinear dynamics, engineering, biophysics [and] statistical mechanics …' Zentralblatt MATH 'I enthusiastically recommend this book to graduate students and young researchers entering the exciting and truly interdisciplinary field of self-organization and self-assembly in complex systems. The book is very useful, provides an excellent source of reference material, and is clearly a valuable asset and excellent introduction not only for graduate students, but also for professors looking to build a course on pattern formation and self-assembly.' Igor Aranson, Argonne National Laboratory 'This book is a practical collection of topics in pattern formation, worked through step by step. Each topic is given a brief, even breezy discussion; the 31 chapters whip by five or ten pages each. Overall, I recommend this book. It is a practical, no-nonsense cookbook which should be on the bookshelves of graduate students in this area.' Martin Grant, McGill University 'While the book includes a broad range of topics it is easily readable even by non-specialists … I enthusiastically recommend this book to graduate students and young researchers … very useful … clearly a valuable asset …' Journal of Statistical Physics 'The text is very well written and grips the attention of the reader. It is pitched at a level that will be understandable to graduate students, and much of it will be accessible to final year undergraduates. There are numerous figures and illustrations to illuminate the text, an extensive list of references, and a good index. In my opinion, it is an excellent book that can be recommended warmly both to libraries and for personal purchase by physicists and nonlinear dynamicists, especially hose working or teaching in the area of self-organisation.' Contemporary Physics


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