Optimization of graphene-photonic crystal waveguides in logic gates using neural networks
Subject Areas : electrical and computer engineeringAli Namdar 1 , maryam mohitpour 2 , Gohar Varamini 3
1 - Department of Electrical Engineering, Shi.C., Islamic Azad University, Shiraz, Iran.
2 - Department of Electrical Engineering, Shi.C., Islamic Azad University, Shiraz, Iran.
3 - Department of Electrical Engineering, Bey.C., Islamic Azad University, Beyza, Iran.
Keywords: Graphene-Photonic Crystal Waveguide, Logic Gates, Plasmonic Technology, Neural Network.,
Abstract :
Research on the subject of studying and optimizing plasmonic logic gates is carried out in order to increase the speed and efficiency of information processing and communication between electronic devices and networks. In this research, plasmonic technology is used to design and manufacture logic gates in COMSOL software. The main goal of this research is to improve the performance of electronic devices and increase their efficiency. In this regard, the leading neural network with the help of MATLAB software is also used to optimize plasmonic logic gates. Research conducted in this field has shown that the use of plasmonic logic gates increases the speed and reduces the energy consumption in information processing. However, in order to achieve an optimal parameter, some of the other parameters are inevitably ignored. In general, this research is carried out in order to improve the performance of electronic devices and increase their efficiency in the most optimal way possible and to examine all the basic parameters available with the help of the powerful neural network tool. . .
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