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Cognitive Data Visualization of Chirality-Dependent Carbon Nanotubes Thermal and Electrical Properties

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Biologically Inspired Cognitive Architectures (BICA) for Young Scientists (BICA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 636))

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Abstract

The paper presents different approaches to a cognitive visualization of multidimensional data of chirality-dependent carbon nanotubes thermal and electrical properties. It is remarkable that the proposed visual analytics approaches are able to demonstrate hidden relations between features of carbon nanotubes.

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Authors and Affiliations

  1. Bauman Moscow State Technical University, Moscow, Russia

    Vadim Shakhnov, Vadim Kazakov, Lyudmila Zinchenko & Vladimir Makarchuk

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

Correspondence to Vadim Shakhnov .

Editor information

Editors and Affiliations

  1. Krasnow Institute, George Mason University, Fairfax, VA, USA

    Alexei V. Samsonovich

  2. National Research Nuclear University MEPhI, Moscow, Russia

    Valentin V. Klimov

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Shakhnov, V., Kazakov, V., Zinchenko, L., Makarchuk, V. (2018). Cognitive Data Visualization of Chirality-Dependent Carbon Nanotubes Thermal and Electrical Properties. In: Samsonovich, A., Klimov, V. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. BICA 2017. Advances in Intelligent Systems and Computing, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-63940-6_43

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  • DOI: https://doi.org/10.1007/978-3-319-63940-6_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63939-0

  • Online ISBN: 978-3-319-63940-6

  • eBook Packages: EngineeringEngineering (R0)

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