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Visual analytics in investigation of chirality-dependent thermal properties of carbon nanotubes
Author(s) -
Vadim A. Shakhnov,
Lyudmila Zinchenko,
Владимир Макарчук,
Elena V. Rezchikova,
Vadim V. Kazakov
Publication year - 2017
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/829/1/012008
Subject(s) - carbon nanotube , visual analytics , thermal , analytics , chirality (physics) , materials science , nanotechnology , carbon fibers , visualization , computer science , data science , composite material , physics , artificial intelligence , thermodynamics , chiral symmetry breaking , quantum mechanics , quark , composite number , nambu–jona lasinio model

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