Systems Self-Assembly

Systems Self-Assembly

Multidisciplinary Snapshots

1st Edition - March 14, 2008
This is the Latest Edition
  • Editors: Natalio Krasnogor, Steve Gustafson, David A. Pelta, Jose L. Verdegay
  • eBook ISBN: 9780080559759

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Description

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.

Key Features

*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

Readership

Scientists, researchers and post-graduate students, practitioners in industry, engineering and science, managers, decision-makers and policy makers

Table of Contents

  • Ch. 1: Self-Organised Nanoparticle Assemblies: A Panoply of Patterns
    Ch. 2: Biomimetic Design of Dynamic Self-Assembling Systems
    Ch. 3: Computing by Self-Assembly: DNA Molecules, Polyominoes, Cells
    Ch. 4: Evolutionary Design of a Model of Self-Assembling Chemical Structures
    Ch. 5: Self-Assembly as an Engineering Concept across Size Scales
    Ch. 6: Probabilistic Analysis of Self-Assembled Molecular Networks
    Ch. 7: The "Programming Language" of Dynamic Self-Assembly
    Ch. 8: Self-Assembled Computer Architectures
    Ch. 9: Simulation of Self-Assembly Processes Using Abstract Reduction Systems
    Ch.10: Computer Aided Search for Optimal Self-Assembly Systems
    Ch.11: Programmable Self-Assembly-Theoretical Aspects and DNA-Linked Nanoparticles
    Ch.12: From Microscopic Rules to Emergent Cooperativity in Large-Scale Patterns
    Ch.13: Automated Self-Assembling Programming

Product details

  • No. of pages: 304
  • Language: English
  • Copyright: © Elsevier Science 2008
  • Published: March 14, 2008
  • Imprint: Elsevier Science
  • eBook ISBN: 9780080559759
  • About the Series Volume Editors

    Natalio Krasnogor

    Affiliations and Expertise

    Automated Scheduling, Optimisation, and Planning Research Group, School of Computer Science and IT, University of Nottingham, UK

    Steve Gustafson

    Affiliations and Expertise

    Automated Scheduling, Optimisation, and Planning Research Group, School of Computer Science and IT, University of Nottingham, UK

    David A. Pelta

    Affiliations and Expertise

    Depto. de Ciencias de la Computacion e Inteligencia Artificial, E.T.S. de Ingenieria Informatica, Universidad de Granada

    Jose L. Verdegay

    Affiliations and Expertise

    Depto.de Ciencias de la Computacion e Inteligencia Artifical, E.T.S. de Ingenieria Informatica, Universidad de Granada