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                  CALL FOR BOOK CHAPTER CONTRIBUTIONS

            
        *** Systems Self-Assembly: Multidisciplinary Snapshots *** 

              
               in Elsevier's Studies in Multidisciplinarity

      N. Krasnogor, S. Gustafson, D. Pelta and J.L. Verdegay (Book Eds.)
          L. McNamara, M. Meyer and W. Stubblefield (Series Eds.)

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THEME 

Self-Assembly processes are ubiquitous in nature. Understanding how nature 
produces self-assembled systems will represent an enormous leap forward in 
our technological capabilities. Self-Assembly is an advantageous fabrication 
process because, with an appropriate set of components and associated 
interactions, these components will autonomously, robustly and efficiently 
assemble into a desired system. Robustness and versatility are some of the 
most important properties of self-assembling natural systems.

Although systems where self-assembly takes place, or which are created by 
a self-assembling process, are remarkably varied, some common principles 
for self-assembly are starting to be discerned. This book will be a showcase 
of self-assembly in systems that arise from the computational, biological, 
chemical, physical and engineering disciplines. The "Ariadna's Thread" 
throughout the book unifying the various case studies will be the 
"Computational Nature of Self-Assembling Systems".  Our book targets readers 
with the following background (but it is not limited to): Computer Science, 
Molecular and Cell/Tissue Biology, Synthetic Chemistry, Material Sciences, 
Engineering and Physics.


PAPER SUBMISSION 

   As soon as possible: Notification of Intent
   1st May 2005: Paper Submissions Deadline - 12-25 pages


PROGRAMME COMMITTEE

G. Rozenberg    Leiden Institute of Advanced Computer Science (LIACS) , 
                Leiden University, The Netherlands
G. Paun         Departamento de Ciencias de la Computacion e Inteligencia 
                Artificial,Universidad de Sevilla,Spain
B.Grzybowski    Dept. of Chemical and Biological Engineering, Northwestern 
                University, USA
M. Gheorghe     School of Computer Sciences, University of Sheffield, 
                United Kingdom
J.L. Giavitto   Laboratorie De Methodes Informatiques, Département 
                d'informatique, Université d'Évry, France
A. Bouchard     Physical and chemical Sciences Center, Sandia National 
                Laboratories, USA
P. Moriarty     School of Physics, University of Nottingham, United Kingdom
N. Krasnogor    School of Computer Sciences, University of Nottingham, 
                United Kingdom
S. Gustafson    School of Computer Sciences, University of Nottingham, 
                United Kingdom
J. Preece       School of Chemistry, University of Birmingham, United Kingdom
A. Mikhailov    Department of Physical Chemistry, Fritz Haber Institute, 
                Germany
B. Tadic        Theoretical Physics Department, Jozef Stefan Institute, 
                Slovenia
B. Parviz       Electrical Engineering, University of Washington, USA
J. Reif         Computer Science, Duke University, USA
R. Weiss        Electrical Engineering, Princeton, USA


WEBSITE  http://www.cs.nott.ac.uk/~nxk/SYSEAS/

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