In this paper, an artificial neural network (ANN) is developed to model how the geometrical parameters of hybrid copper-graphene interconnects affect the per-unit-length resistance values. The proposed ANN is intelligently ...

In this article, an artificial neural network (ANN) is developed in order to predict the per-unit-length (p. u. l.) parameters of hybrid copper-graphene on-chip interconnects from a prior knowledge of their structural ...

This paper presents a temperature-aware matrix rational approximation (MRA) technique for the predictive modeling of multiwall carbon nanotube (MWCNT) on-chip interconnect networks. The key feature of the proposed technique ...