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

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

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.

Keywords

Nanotubes Multidimensional data Data analysis Visual perception 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

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

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