Nanoscale modeling of an efficient Carbon Nanotube-based RF switch using XG-Boost machine learning algorithm

P Chaitanya, S Sethuraman, S Kanthamani… - Microsystem …, 2024 - Springer
Abstract Radio Frequency (RF) Nano Electro Mechanical Switches (NEMS) using Carbon
Nanotube (CNTs) are preferred for electronic switching due to its high stiffness, switching …

Performance comparison between current-mode signaling and voltage-mode signaling for multilayer graphene nanoribbon (MLGNR) interconnects

F Zou, Z Pan, P Xu - Journal of Computational Electronics, 2025 - Springer
Graphene nanoribbon (GNR) is emerging as a superior material for nanometer-scale
interconnects, offering superior performance compared with traditional copper materials. To …

Modeling and performance analysis of coupled multilayer graphene nanoribbon (MLGNR) interconnects with intercalation doping

F Zou, Z Pan, P Xu - Microelectronics Journal, 2023 - Elsevier
This paper investigated the temperature‐dependent performance of coupled top contact
multilayer graphene nanoribbon interconnects (TC-MLGNRs) with different intercalation …

The ultra-low-k dielectric materials for performance improvement in coupled multilayer graphene nanoribbon interconnects

P Xu, Z Pan, Z Tang - Electronics, 2019 - mdpi.com
The ultra-low-k dielectric material replacing the conventional SiO2 dielectric medium in
coupled multilayer graphene nanoribbon (MLGNR) interconnects is presented. An …

Collaborative applying the ultra-low-k dielectric and the high-k dielectric materials for performance enhancement in coupled multilayer graphene nanoribbon …

P Xu, Z Pan - IEEE Journal of the Electron Devices Society, 2020 - ieeexplore.ieee.org
Based on transmission line modeling, a new technology of collaborative applying the
ultralow-k dielectric and the high-k dielectric materials in coupled multilayer graphene …

The insertion of high-k dielectric materials in multilayer graphene nanoribbon interconnects for reducing propagation delay and expanding bandwidth

P Xu, Z Pan - Organic Electronics, 2020 - Elsevier
The multilayer graphene nanoribbons (MLGNR) by inserting the high-k dielectric material
between adjacent graphene nanoribbons (GNR) layers to reduce propagation delay and to …

The analytical model of frequency response and bandwidth for coupled multilayer graphene nanoribbon interconnects

P Xu, Z Pan - Microelectronics Journal, 2020 - Elsevier
This paper applies the multilayer graphene nanoribbons (MLGNR) as a prospective
candidate material to replace the conventional copper (Cu) for next generation on-chip …

Pull in Analysis of Nano sized RF switches using Artificial Neural Networks

S Sethuraman, P Chaitanya, JJ Percy, SMM Roomi - 2023 - researchsquare.com
Abstract An Artificial Neural Network (ANN) model for the pull-down voltage analysis of
Radio Frequency (RF) NEMS (Nano Electro-Mechanical) switch is presented in this paper …

Radial Point Interpolation Method (RPIM) for the Meshless Analysis of Graphene Nano Ribbon

J Nivetha, S Kanthamani - IETE Journal of Research, 2021 - Taylor & Francis
This paper proposes the usage of an adaptive meshless method–radial point interpolation
method (RPIM) for the analysis of armchair graphene nano ribbon (GNR) to be used for …

Transfer matrix model of multilayer graphene nanoribbon interconnects

S Fotoohi, S Haji-Nasiri - Microelectronics Reliability, 2017 - Elsevier
A general, algorithmic and exact transfer matrix model is presented for multilayer graphene
nanoribbon (MLGNR) interconnects that is based on multi transmission line method (MTLM) …