From
the moment atomic precision control of the growth process
of graphene was achieved, more elaborated carbon allotropes were proposed
opening new channels for flat optoelectronics at the nanoscale. A
special type of this material presenting a V-shape (or “kinked”
pattern) was recently synthesized and named chevron-graphene nanoribbons
(C-GNRs). To realize the reach of C-GNRs in developing new applications,
the formation and transport of charge carriers in their lattices should
be primarily understood. Here, we investigate the static and dynamical
properties of quasiparticles in C-GNRs. We study the effects of electron–phonon
coupling and doping on the system. We also determine the kind of charge
carriers present in C-GNR. Two distinct physical pictures for the
charge transport were obtained: a delocalized regime of conduction
and a regime mediated by charge carriers. These transport regimes
are highly dependent on the doping concentration. Importantly, similarities
in charge carrier terminal velocities were observed among C-GNRs and
standard armchair graphene nanoribbons, which originate from their
comparable charge localization profiles that yield quasiparticles
with equivalent effective masses.
This paper investigates the fairness problem in alloptical networks without wavelength conversion under dynamic traffic loads. We propose a new classification strategy to mitigate the fairness problem called Fair-Fit. Our strategy is based on previous simulation studies that are carried out off-line. In addition, we introduce an equation that allows one to compare the source-destination pairs with the best and the worst blocking probability. Our simulation results show that Fair-Fit may result in better fairness results than earlier strategies proposed in the literature.
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