Systems Self-Assembly: Multidisciplinary Snapshots (ISSN Book 5)
Natalio Krasnogor
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
Self-assembly (Chemistry), Self-organizing systems, Molecular computers
Name in long format: | Systems Self-Assembly: Multidisciplinary Snapshots (ISSN Book 5) |
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ISBN-10: | 0080559751 |
ISBN-13: | 9780080559759 |
Book pages: | 304 |
Book language: | en |
Edition: | 1 |
Binding: | Kindle Edition |
Publisher: | Elsevier Science |