Systems Self-Assembly, Volume 5: Multidisciplinary Snapshots (Studies in Multidisciplinarity) by Natalio Krasnogor, Steve Gustafson, David A. Pelta, Jose L. Verdegay
Systems Self-Assembly, Volume 5: Multidisciplinary Snapshots (Studies in Multidisciplinarity)
Author: Natalio Krasnogor, Steve Gustafson, David A. Pelta, Jose L. Verdegay
Book title: Systems Self-Assembly, Volume 5: Multidisciplinary Snapshots (Studies in Multidisciplinarity)
ISBN: 0444528652
ISBN13: 978-0444528650
Format: pdf, fb2, epub
Pages:
Publisher: Elsevier Science; 1 edition (May 12, 2008)
Language: English
Size pdf version: 1474 kb
Size epub version: 1545 kb
Rating: 4.6 ✪
Votes: 437
Category: Engineering & Transportation
Subcategory: Engineering

Systems Self-Assembly is the only book to showcase state-of-the-art self-assembly systems that arise from the computational, biological, chemical, physical and engineering disciplines. Written by world experts in each area, it provides a coherent, integrated view of both book practice examples and new trends with a clearly presented computational flavor. The unifying thread throughout the text is the computational nature of self-assembling systems.

This book consists of 13 chapters dealing with a variety of topics such as the patterns of self-organised nanoparticle assemblies; biomimetic design of dynamic self-assembling systems; computing by self-assembly involving DNA molecules, polyominoes, and cells; evolutionary design of a model of self-assembling chemical structures; self-assembly as an engineering concept across size scales; and probabilistic analysis of self-assembled molecular networks. Other chapters focus on the programming language of dynamic self-assembly; self-assembled computer architectures; simulation of self-assembly processes using abstract reduction systems; computer aided search for optimal self-assembly systems; theoretical aspects of programmable self-assembly; emergent cooperativity in large-scale patterns; and automated self-assembling programming.

Systems Self-Assembly is an ideal reference for scientists, researchers and post-graduate students; practitioners in industry, engineering and science; and managers, decision-makers and policy makers.



*The only book to showcases state-of-the-art self-assembly systems that arise from the computational, biological, chemical, physical and engineering disciplines
*Coherent, integrated view of both book practice examples and new trends with a clearly presented computational flavor
*Written by world experts in each area