Journal article
Electrical Design of Advanced Packaging and Systems Symposium, 2024
APA
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Jakhar, A. K., Dasgupta, A., Sharma, R., & Roy, S. (2024). Spacer Optimization using a Neuro-Pso Approach for Improving FinFET Repeater Performance in On-Chip Global MLGNR Interconnects. Electrical Design of Advanced Packaging and Systems Symposium.
Chicago/Turabian
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Jakhar, Asha Kumari, Avirup Dasgupta, Rohit Sharma, and Sourajeet Roy. “Spacer Optimization Using a Neuro-Pso Approach for Improving FinFET Repeater Performance in On-Chip Global MLGNR Interconnects.” Electrical Design of Advanced Packaging and Systems Symposium (2024).
MLA
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Jakhar, Asha Kumari, et al. “Spacer Optimization Using a Neuro-Pso Approach for Improving FinFET Repeater Performance in On-Chip Global MLGNR Interconnects.” Electrical Design of Advanced Packaging and Systems Symposium, 2024.
BibTeX Click to copy
@article{asha2024a,
title = {Spacer Optimization using a Neuro-Pso Approach for Improving FinFET Repeater Performance in On-Chip Global MLGNR Interconnects},
year = {2024},
journal = {Electrical Design of Advanced Packaging and Systems Symposium},
author = {Jakhar, Asha Kumari and Dasgupta, Avirup and Sharma, Rohit and Roy, Sourajeet}
}
Spacers are often used in fin-shaped field effect transistors (FinFETs) to increase the ON current at the cost of higher parasitic capacitances. In this paper, a neural network assisted particle swarm optimization technique called neuro-PSO is developed to optimize the geometrical and material parameters of spacers in order to enhance the performance of FinFET based repeaters in on-chip global MLGNR interconnects. The proposed neuro-PSO approach is able to achieve a much smaller power delay product of MLGNR interconnects while requiring a smaller repeater area than what is possible when no spacers are used.