DocumentCode
2430906
Title
Power Double Gate MOSFET Modeling Based on Adaptive Neuro-Fuzzy Inference System for Nano Scale Circuit Simulation
Author
Jain, Dheeraj ; Jaiswal, Sanjay Kumar ; Verma, Kumkum ; Kumar, Sunil
Author_Institution
ECE Deptt, Sangam Univ., Bhilwara, India
fYear
2012
fDate
3-5 Nov. 2012
Firstpage
500
Lastpage
505
Abstract
During the last decades the electronic technology has faced drastic changes mainly to reduce the circuit as small as possible and hence came the MOS technology. This basic need arised because as the conventional silicon metal-oxide semiconductor field effect transistor (MOSFET) approaches its scaling limit, quantum mechanical effects are expected to become more and more important. The voltage applied to gate terminal determines the current flowing through the channel. This ANFIS model reduces the computational time while keeping the accuracy of physics based models, like Non Equilibrium Greenâs Function (NEGF) formalism. Finally, we import the ANFIS model into the circuit simulator software as a sub circuit. The result shows that the compact model based on ANFIS is an efficient tool for the simulation of nanoscale circuits.
Keywords
Green´s function methods; MOSFET; circuit simulation; electronic engineering computing; fuzzy neural nets; ANFIS model; MOS technology; NEGF formalism; adaptive neuro-fuzzy inference system; circuit simulator software; electronic technology; gate terminal; nanoscale circuit simulation; nonequilibrium Green´s function; physics based model; power double gate MOSFET modeling; quantum mechanical effect; scaling limit; silicon metal-oxide semiconductor field effect transistor; Adaptation models; Computational modeling; Integrated circuit modeling; Logic gates; MOSFET circuits; Mathematical model; Semiconductor device modeling; Double Gate MOSFET; adaptive neuro fuzzy inference system; nanoscale circuit; non equilibrium green´s function;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
Conference_Location
Mathura
Print_ISBN
978-1-4673-2981-1
Type
conf
DOI
10.1109/CICN.2012.164
Filename
6375165
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