• DocumentCode
    3224037
  • Title

    Modeling SOI-MOSFET using neuro space mapping

  • Author

    Armaki, Mahdi Gordi ; Hosseini, Seyed Ebrahim ; Haddadnia, Javad

  • Author_Institution
    Dept. of Eng., Tarbiat Moallem Univ. of Sabzevar, Sabzevar, Iran
  • fYear
    2009
  • fDate
    25-27 Dec. 2009
  • Firstpage
    71
  • Lastpage
    74
  • Abstract
    The drift-diffusion (DD) model is not accurate for simulation of sub-micrometer semiconductor devices. Using RBF NN, a neuro space mapping is proposed to DD model parameters. The DD model with mapped parameters can produce accurate simulation results of the hydrodynamic model. Simulations of a SOI-MOSFET confirm the ability of the proposed method for submicron device simulation.
  • Keywords
    MOSFET; electronic engineering computing; radial basis function networks; silicon-on-insulator; RBF neural nets; SOI-MOSFET; drift-diffusion model; neuro space mapping; submicron device simulation; Circuit simulation; Electron devices; High definition video; Hydrodynamics; Java; Microwave circuits; Neural networks; Poisson equations; Semiconductor devices; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electron Devices and Solid-State Circuits, 2009. EDSSC 2009. IEEE International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-4297-3
  • Electronic_ISBN
    978-1-4244-4298-0
  • Type

    conf

  • DOI
    10.1109/EDSSC.2009.5394186
  • Filename
    5394186