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Self-assembly Simulation System

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Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

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Abstract

This paper describes a software system to model and visualize 3D or 2D selfassembly of groups of autonomous agents. The system makes a physically accurate estimate of the interaction of agents represented as rigid cubic or tetrahedral structures with variable electrostatic charges on the faces and vertices. Local events cause the agents’ charges to change according to user-defined rules or rules generated by genetic algorithms. The system is used as an experimental environment for theoretical and practical study of self-assembly. In particular, the system is used to further develop and test self-assembly properties of meso-blocks.

The paper describes the architecture of the system and a set of experiments which explore passive aggregation and active directed self-assembly of mesoblocks. The experiments demonstrate sensitivity of self-assembly results not only to the logical programming of the agents and initial configuration, but also to physical parameters of the system.

The software system can be applied to the analysis, prediction and design of self-assembly behaviour of agents from atomic- to macro-scales. In particular, it may become a platform for developing design techniques that can be implemented in real nano-scale systems to achieve useful structures.

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References

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Author information

Authors and Affiliations

  1. CSIRO, ICT Centre, Sydney, Australia

    Vadim Gerasimov, Ying Guo, Geoff James & Geoff Poulton

Authors
  1. Vadim Gerasimov
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  2. Ying Guo
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  3. Geoff James
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  4. Geoff Poulton
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Oklahoma State University, North Greenwood Avenue 700, 74106, Tulsa, USA

    Ajith Abraham

  2. Dept. of Computer Science and Systems Engineering, Muroran Institute of Technology, Mizumoto-cho 27-1, 050-8585, Muroran, Hokkaido, Japan

    Yasuhiko Dote

  3. Dept. of Computational Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, 464-8601, Nagoya, Aichi-ken, Japan

    Takeshi Furuhashi

  4. Institut für Sicherheits-/Prüftechnik, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  5. Division of Complex Systems Technology Graduate School of Engineering, University of Hokkaido, N-13, W-8 060 KITA-KU, Sapporo, Japan

    Azuma Ohuchi

  6. PRESTO Japan Science & Technology Corp. GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, 12-0012, Tokyo, Japan

    Yukio Ohsawa

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© 2005 Springer-Verlag Berlin Heidelberg

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Gerasimov, V., Guo, Y., James, G., Poulton, G. (2005). Self-assembly Simulation System. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_102

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  • DOI: https://doi.org/10.1007/3-540-32391-0_102

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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