Published February 2021 | Version v1
Journal article

Analytical frequency-domain model for coupled interconnects of doped multilayer graphene nanoribbons and mixed carbon nanotube bundles

  • 1. Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, 147004 (India)

Description

An analytical frequency-domain model, based on a temperature-dependent equivalent-single-conductor (ESC) model, for coupled interconnects of multilayer graphene nanoribbon (MLGNR) and mixed carbon-nanotube bundle (MCB) is presented. In this model, the input-output transfer function of coupled interconnects is derived under dynamic switching conditions to analyze its bandwidth, delay, and stability performance. The obtained results demonstrate the best bandwidth performance of AsF5-doped-MLGNR among the undoped-MLGNR (U-MLGNR), doped-MLGNR (viz., AsF5-doped and FeCl3-doped), MCB, and Cu interconnects. An improvement in a bandwidth of 14, 8.8, and 63.2 GHz is obtained with global ength (≈1000 µm) AsF5-doped-MLGNR in comparison with U-MLGNR, MCB, and Cu, respectively. Based on the Nyquist stability criterion, interconnects of doped-MLGNR are found more stable than their U-MLGNR and MCB counterparts, however, less stable than Cu interconnects. Also, a frequency-domain model for complementary metal-oxide semiconductor (CMOS)-gate-driven single MLGNR interconnect is derived. It is noted that using the proposed CMOS-gate based model, a bandwidth improvement of 12.25× is obtained with global length AsF5-doped-MLGNR with respect to a linear resistive model. Furthermore, the temperature-dependent, frequency-domain analysis of the capacitively coupled interconnects under functional switching conditions reveals that AsF5-doped-MLGNR interconnects are highly capable of filtering out the noise frequency components in the crosstalk-induced noise (© 2020 Wiley‐VCH GmbH)

Additional details

Identifiers

Publishing Information

Journal Title
Physica Status Solidi. A, Applications and Materials Science (Online)
Journal Volume
218
Journal Issue
4
Journal Page Range
p. 1-15
ISSN
1862-6319
CODEN
PSSABA

Optional Information

Notes
AID: 2000588