2024 : 4 : 14
Maryam Momeni

Maryam Momeni

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0002-2548-1619
Education: PhD.
ScopusId: 55959639000
Faculty: Engineering
Address: Arak University
Phone:

Research

Title
Power-Delay-Product Optimal Repeater Design for Horizontal and Vertical Multi-Layer Graphene Nanoribbon Interconnects
Type
JournalPaper
Keywords
MLGNR, Interconnect, Repeater insertion, Optimization, PDP, Neural networks
Year
2022
Journal Journal of Computational Electronics
DOI
Researchers Majid Sanaeepur ، Maryam Momeni ، Ali Mahmoudi

Abstract

Power-delay-product (PDP) optimal repeater size and number design for horizontal and vertical multi-layer graphene nanoribbon (MLGNR) interconnects is implemented. Horizontal MLGNR (HMLGNR) interconnects, both top-contacted (TC) and side-contacted (SC), and vertical MLGNR (VMLGNR) interconnects are considered. The four most common optimization algorithms including ant colony optimization for continuous domains (ACOR), particle swarm optimization (PSO), artificial bee colony (ABC), and gray wolf optimization (GWO) are compared in terms of speed and accuracy to choose the best suited algorithm for optimizing repeater size and number in MLGNR interconnects. Edge backscattering probability, surface roughness amplitude, and doping concentration, due to their significant effect on the performance of MLGNR interconnects are considered as input parameters to optimization algorithms. The ACOR optimization results are then utilized to train a back-propagation neural network that performs the optimal repeater design very much faster than optimization algorithms. It is shown that VMLGNR or HMLGNR interconnects may need less repeater number depending on the edge backscattering probability, surface roughness amplitude, and doping concentration. HMLGNR interconnects with top contacts always need less repeater size than other interconnect types irrespective of edge backscattering probability, surface roughness amplitude, and doping concentration.