Self-consistent capacitance model for multilayer graphene nanoribbon interconnects

An analytical model for the computation of equivalent capacitance in top-contact and side-contact multilayer graphene nanoribbon interconnects is presented, taking into consideration the interlayer coupling. On the basis of this model, it is observed that interlayer capacitance is a dominant factor that severely degrades the performance of graphene interconnects. The proposed model is verified with simulation data obtained using Synopsys Raphael that exhibits excellent accuracy. Further, a theoretical framework for improvement in key interconnect performance indices such as delay, energy-delay product and bandwidth density is provided by inserting metal atoms between the graphene layers in top-contact graphene nanoribbon interconnects.