With nonequilibrium Green's function approach combined with density functional theory, we perform an ab initio calculation to investigate transport properties of graphene nanoribbon (GNR) junctions self-consistently. Tight-binding approximation is applied to model the zigzag (ZGNR) electrodes, and its validity is confirmed in comparison to the GAUSSIAN03 periodic boundary condition calculation ...

The narrowest armchair graphene nanoribbon (AGNR) with five carbons across the width of the GNR (5-AGNR) was synthesized on Au(111) surfaces via sequential dehalogenation processes in a mild condition by using 1,4,5,8-tetrabromonaphthalene as the molecular precursor. Gold-organic hybrids were observed by using high-resolution scanning tunneling microscopy and considered as intermediate states u...

Vibrational dephasing of the lowest energy electronic excitations in the perfect (16,16) graphene nanoribbon (GNR) and those with the C2-bond insertion and rotation defects is studied with ab initio molecular dynamics. Compared to single-walled carbon nanotubes (SWCNTs) of similar size, GNRs shows very different properties. The dephasing in the ideal GNR occurs twice faster than that in the SWC...

Abstract The electrical transport properties of a turbostratic multilayer graphene nanoribbon (GNR) with various number layers (1–8 layers) were investigated using field effect transistor single GNR channel. In the 5 or less, carrier mobility and I on /I off ratio in FETs improved by slightly increasing conductance layers, meaning that excellent semiconducting characteristic. improvement promot...

Nanopores are now being used not only as an ionic current sensor but also as a means to localize molecules near alternative sensors with higher sensitivity and/or selectivity. One example is a solid-state nanopore embedded in a graphene nanoribbon (GNR) transistor. Such a device possesses the high conductivity needed for higher bandwidth measurements and, because of its single-atomic-layer thic...

Bottom-up assembled nanomaterials and nanostructures allow for the studies of rich unprecedented quantum-related mesoscopic transport phenomena. However, it can be difficult to quantify correlations between geometrical or structural parameters obtained from advanced microscopy measured electrical characteristics when they are made into macroscopic devices. Here, we propose a strategy connect na...

We describe a simple graphene nanoribbon and bottom gate system and present numerical algorithms for solving Poisson’s and Thomas–Fermi equations for electrons in the graphene nanoribbon. The Poisson’s equation is solved using finite difference and finite element methods. Using the Poisson and Thomas–Fermi equations we calculate an electrostatic potential and surface electron density in the gra...

A process for fabricating dense graphene nanoribbon arrays using self-assembled patterns of block copolymers on graphene grown epitaxially on SiC on the wafer scale has been developed. Etching masks comprising long and straight nanoribbon array structures with linewidths as narrow as 10 nm were fabricated, and the patterns were transferred to graphene. Our process combines both top-down and sel...

The Y-chart is a powerful tool for understanding the relationship between various views (behavioral, structural, physical) of a system, at different levels of abstraction, from high-level, architecture and circuits, to low-level, devices and materials. We thus use the Y-chart adapted for graphene to guide the chapter and explore the relationship among the various views and levels of abstraction...

: The effects of uniaxial tensile strain on the ultimate performance of a dual-gated graphene nanoribbon field-effect transistor (GNR-FET) are studied using a fully analytical model based on effective mass approximation and semiclassical ballistic transport. The model incorporates the effects of edge bond relaxation and third nearest neighbor (3NN) interaction. To calculate the performance metr...