The nanoworld is invisible for a human eye. As a result, standard human methods for research and decision making are not applicable. Novel approaches are required in nanoengineering. In the paper, we present our approach to visual analytics support for carbon nanotube design automation. We illustrate our approach for research of thermal properties of single-walled carbon nanotubes. Features of our tool are discussed. Practical outcomes of our approach are outlined.
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