Systems Self-Assembly: Multidisciplinary SnapshotsElsevier, 2011 M09 22 - 304 pages 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.
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Contents
| 1 | |
| 21 | |
DNA Molecules Polyominoes Cells | 49 |
Chapter 4 Evolutionary Design of a Model of SelfAssembling Chemical Structures | 79 |
Chapter 5 SelfAssembly as an Engineering Concept across Size Scales | 101 |
Chapter 6 Probabilistic Analysis of SelfAssembled Molecular Networks | 123 |
Chapter 7 The Programming Language of Dynamic SelfAssembly | 153 |
Chapter 8 SelfAssembled Computer Architectures | 181 |
Chapter 9 Simulation of SelfAssembly Processes Using Abstract Reduction Systems | 199 |
Chapter 10 Computer Aided Search for Optimal SelfAssembly Systems | 225 |
Chapter 11 Programmable SelfAssemblyTheoretical Aspects and DNALinked Nanoparticles | 245 |
Chapter 12 From Microscopic Rules to Emergent Cooperativity in LargeScale Patterns | 259 |
Chapter 13 Automated SelfAssembling Programming | 281 |
| 309 | |
Colour Plate Section | 311 |
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Common terms and phrases
algorithm amphiphile architecture behavior binding sites bonds building blocks carbon nanotube Cayley graph cell cellular centrosome chapter chemical colloidal Colour Plate Section colour version complex components computation configuration connectivity counter crossbar dbDPD decrement defect mapping defined devices dimers DNA computing dynamic self-assembly DySA systems elements evolutionary evolutionary algorithm example fabrication finite function G.M. Whitesides glue Grzybowski implemented increment interactions interface kernel length scale ligation magnetic mechanism membrane micelles microtubules molecular molecules monomers motor proteins multiset nanofabric nanoparticle nanoscale nanostructured Nanotechnology nodes oligomers operations optimal P-systems parameters particles pattern Phys physical polymer polyominoes probabilistic problem proteins rectangle result rules scale-free self-assembly processes self-organisation sequence shown in Fig silicon simulation specific step sticky graphs strands structural redundancy substrate supertile symbols template tile system tion topology transformation Turing types unique wafer Wang tile Web graph
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Page v - What is a man, If his chief good and market of his time Be but to sleep and feed? a beast, no more. Sure he that made us with such large discourse, Looking before and after, gave us not That capability and god-like reason To fust in us unus'd.