Theoretical Study for Improving the Performance of Carbon Nanotubes Networks

Abstract

Progress in graphene carbon nanotubes manufacturing processes and their tremendous
applications directed the research groups all over the world towards investigating the performance related
to their specializations. The carbon nanotubes networks (CANETs) are a promising target for any related
nanonetwork sensors application fields. In this paper, the overall CANETs performance is firstly studied.
Higher bandwidth and data rate are achieved under some selected properties of network elements. The
carbon nanotubes (CNTs) are essential part of these nano-networks. For that, the isotropy of CNTs into
the CANET is studied under various CNT angle, lengths, numbers and CNTs adjacent distance in x and y
directions and at various connection probabilities values for random distribution. From the obtained
results, higher isotropy is assigned when the CNTs angle equal π/2. Also, certain square peaks are noticed
at assigned angle values in the range. These peaks describe the ability to exchange, store, and process data
into CNTs intersections, nanonodes, between the terminals. Theoretical description of the dependence of
Field Effect Transistor (FET) conductance into CNTs parameters is derived. i.e., to discover the effects of
CNTs parameters more in the behavior of CANET performance, FET conductance value as function of
angle values, adjacent distance deviations are separately discussed. In the first case, conductance peaks
are noticed at periodically values of angle such as . These accurate determinations of angle value can be
assigned for information transformation via the CANET. In the second phase, the conductance are studied
as a function of CNTs adjacent distances deviations for two values of CNTs numbers while the other
parameters are held constant. From the obtained results, increasing the CNTs number will decrease the
conductance value and adjacent distance deviations. It is preferable to adopt the CANET parameters to
preserve the data rate and encoding process which attributed in CNTs angle phases.