• DocumentCode
    1241732
  • Title

    Nonlinear Characterization and Modeling of Carbon Nanotube Field-Effect Transistors

  • Author

    Curutchet, Arnaud ; Théron, Didier ; Werquin, Matthieu ; Ducatteau, Damien ; Happy, Henri ; Dambrine, Gilles ; Bethoux, J.M. ; Derycke, Vincent ; Gaquière, Christophe

  • Author_Institution
    Integration from Mater. to Syst. (IMS) Lab., Bordeaux Univ., Talence
  • Volume
    56
  • Issue
    7
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    1505
  • Lastpage
    1510
  • Abstract
    We report for the first time to our knowledge large-signal measurements performed at 600 MHz and in time domain on carbon nanotube field-effect transistors (CNFETs) using a large-signal network analyzer. To overcome the very high mismatch between the high CNFET impedance and the basic 50-Omega configuration of the setup, the output impedance was matched with the help of an experimental active load-pull configuration. Hence, we were able to observe under large-signal conditions the nonlinear behavior of CNFETs. Static measurements and continuous-wave S ij -parameter measurements were made for many different biases. They were used in order to determine a nonlinear electrical model that has been validated thanks to the nonlinear measurements. The developed model opens the way for electrical CNFET circuit simulation and nonlinear applications of these devices.
  • Keywords
    UHF field effect transistors; carbon nanotubes; field effect transistors; nanotube devices; carbon nanotube field-effect transistors; frequency 600 MHz; large-signal network analyzer; nonlinear characterization; nonlinear electrical model; resistance 50 ohm; Carbon nanotube field-effect transistor (CNFET); large-signal network analyzer (LSNA); neuronal modeler; nonlinear model;
  • fLanguage
    English
  • Journal_Title
    Microwave Theory and Techniques, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9480
  • Type

    jour

  • DOI
    10.1109/TMTT.2008.925209
  • Filename
    4538264