• 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