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
Link To Document :
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