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Cognitive data visualization of chirality-dependent carbon nanotubes thermal and electrical properties

Advances in Intelligent Systems and Computing (2018) 636 302-307
DOI: 10.1007/978-3-319-63940-6_43
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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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Shakhnov, V., Kazakov, V., Zinchenko, L., & Makarchuk, V. (2018). Cognitive data visualization of chirality-dependent carbon nanotubes thermal and electrical properties. In Advances in Intelligent Systems and Computing (Vol. 636, pp. 302–307). Springer. https://doi.org/10.1007/978-3-319-63940-6_43

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