Multilayer graphene nanoribbons (MLGNRs) have potentially provided attractive solutions in
an intensely growing researched area of interconnects. However, for MLGNR interconnects …

Based on an equivalent single conductor model incorporating surface roughness scattering,
the effect of the surface roughness of an underlying dielectric material on the performance of …

This paper addresses the impact of interlayer resistance due to c-axis resistivity and contact
resistance on performance in terms of delay, power dissipation and power delay product …

In this article, artificial neural network (ANN) metamodels have been developed for the fast
statistical signal integrity analysis of multiwalled carbon nanotube and multilayer graphene …

Graphene nano-ribbons (GNR) have been proposed for building up interconnects for 3-D
ICs, due to their superior performance over conventional metallic materials. In this paper …

In this paper, an artificial neural network (ANN) enabled uncertainty quantification technique
is developed for graphene on-chip interconnects. In the proposed technique, primary ANNs …

A comprehensive analysis is carried out herein on the impact of the interconnect geometry
with nanoscale dimensions on the crosstalk-induced gate oxide reliability in coupled …

Challenges from interconnects in the deep sub-micron VLSI domain are now a days
addressed through the new innovations. These are the materials based on graphene …

This paper introduces graphene nanoribbon (GNR) as prospective filler material in a signal-
ground through silicon via (TSV). A simplified but accurate analytical model is presented …

Purpose This paper aims to present the edge scattering dominant circuit modeling. The
effect of crosstalk on gate oxide reliability (GOR), along with the mitigation using shielding …