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

  • Vadim ShakhnovEmail author
  • Vadim Kazakov
  • Lyudmila Zinchenko
  • Vladimir Makarchuk
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 636)


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.


Nanotubes Multidimensional data Data analysis Visual perception 


  1. 1.
    Beach, B., Brown, J., Tarlton, T., Derosa, P.A.: CTViz: A tool for the visualization of transport in nanocomposites. J. Mol. Graph. Model. 5(66), 168–173 (2016)CrossRefGoogle Scholar
  2. 2.
    Marconnet, A.M., Panzer, M.A., Goodson, K.E.: Thermal conduction phenomena in carbon nanotubes and related nanostructured materials. Rev. Mod. Phys. 85, 1296–1327 (2013)CrossRefGoogle Scholar
  3. 3.
    de la Iglesia, D., Cachau, R.E., García-Remesal, M., Maojo, V.: Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research. Comput. Sci. Discov. 6, 014011 (2013)CrossRefGoogle Scholar
  4. 4.
    Shakhnov, V.A., Zinchenko, L.A., Rezchikova, E.V.: Simulation and visualization in cognitive nanoinformatics. Int. J. Math. Comput. Simul. 1, 141–147 (2014)Google Scholar
  5. 5.
    Kazakov, V., Verstov, V., Zinchenko, L., Makarchuk, V.: Visual analytics support for carbon nanotube design automation. In: Samsonovich, A., Klimov, V., Rybina, G. (eds.) Advances in Intelligent Systems and Computing, vol. 449 (2016)Google Scholar
  6. 6.
    Shakhnov, V.A., Zinchenko, L.A., Makarchuk, V.V., Rezchikova, E.V., Kazakov, V.V.: Visual analytics in investigation of chirality-dependent thermal properties of carbon nanotubes. J. Phys. Conf. Ser. 829(1), 012008 (2017)CrossRefGoogle Scholar
  7. 7.
    Red’ko, V.: The natural way to artificial intelligence. In: Goertzel, B., Pennachin, C. (eds.) Artificial General Intelligence. Cognitive Technologies, pp. 327–351. Springer, Heidelberg (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Vadim Shakhnov
    • 1
    Email author
  • Vadim Kazakov
    • 1
  • Lyudmila Zinchenko
    • 1
  • Vladimir Makarchuk
    • 1
  1. 1.Bauman Moscow State Technical UniversityMoscowRussia

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