• DocumentCode
    642603
  • Title

    A learning tool MOSFET model: A stepping-stone from the square-law model to BSIM4

  • Author

    Jeppson, Kjell

  • Author_Institution
    Dept. of Microtechnol. & Nanosci., Chalmers Univ. of Technol., Gothenburg, Sweden
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    Students often experience difficulties grasping the gap between simple square-law MOSFET models and advanced BSIM models with a large number of model parameters for modeling the many second-order short-channel effects (SCE). In this paper, a physics-based learning tool MOSFET model is presented with the aim of serving as a stepping-stone between these two models. The model is based on three model parameters in each of the two regions of strong inversion operation. The three-point model parameter extraction scheme is presented to support student learning and hands-on experience. The model is useful both for small-signal parameter calculations in the analog bias region and for calculation of large-signal currents during logic gate transients. Model accuracy is very good, a lot better than first expected, even if geometry variations have not yet been explored.
  • Keywords
    MOSFET; analogue integrated circuits; integrated circuit modelling; logic gates; semiconductor device models; transients; BSIM models; analog bias region; large-signal current calculation; logic gate transients; physics-based learning tool MOSFET model; small-signal parameter calculations; square-law MOSFET models; three-point model parameter extraction scheme; Data models; Integrated circuit modeling; Logic gates; MOSFET; Mathematical model; Parameter extraction; Semiconductor device modeling; DIBL; MOSFET modeling; mobility roll-off; three-point model parameter extraction; velocity saturation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Timing Modeling, Optimization and Simulation (PATMOS), 2013 23rd International Workshop on
  • Conference_Location
    Karlsruhe
  • Type

    conf

  • DOI
    10.1109/PATMOS.2013.6662153
  • Filename
    6662153