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Visual Analytics Support for Carbon Nanotube Design Automation

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Book cover Biologically Inspired Cognitive Architectures (BICA) for Young Scientists

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 449))

Abstract

The nanoworld is invisible for a human eye. As a result, standard human methods for research and decision making are not applicable. Novel approaches are required in nanoengineering. In the paper, we present our approach to visual analytics support for carbon nanotube design automation. We illustrate our approach for research of thermal properties of single-walled carbon nanotubes. Features of our tool are discussed. Practical outcomes of our approach are outlined.

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Acknowledgements

This work was partially supported by grant RFBR 15-29-01115 ofi-m.

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Authors and Affiliations

  1. Bauman Moscow State Technical University, Moscow, Russia

    Vadim Kazakov, Vladimir Verstov, Lyudmila Zinchenko & Vladimir Makarchuk

Authors
  1. Vadim Kazakov
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  2. Vladimir Verstov
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  3. Lyudmila Zinchenko
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  4. Vladimir Makarchuk
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Corresponding author

Correspondence to Lyudmila Zinchenko .

Editor information

Editors and Affiliations

  1. Department 22 “Cybernetics”, National Research Nuclear University, Moscow, Russia

    Alexei V. Samsonovich

  2. “MEPhI”, National Research Nuclear University, Moscow, Russia

    Valentin V. Klimov

  3. “MEPhI”, National Research Nuclear University, Moscow, Russia

    Galina V. Rybina

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© 2016 Springer International Publishing Switzerland

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Kazakov, V., Verstov, V., Zinchenko, L., Makarchuk, V. (2016). Visual Analytics Support for Carbon Nanotube Design Automation. In: Samsonovich, A., Klimov, V., Rybina, G. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists . Advances in Intelligent Systems and Computing, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-319-32554-5_10

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  • DOI: https://doi.org/10.1007/978-3-319-32554-5_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32553-8

  • Online ISBN: 978-3-319-32554-5

  • eBook Packages: EngineeringEngineering (R0)

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