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*** 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.) ------------------------------------------------------------------------------ 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/ ------------------------------------------------------------------------------