• DocumentCode
    1234068
  • Title

    Characterization and Modeling of Subfemtofarad Nanowire Capacitance Using the CBCM Technique

  • Author

    Zhao, Hui ; Kim, Raseong ; Paul, Abhijeet ; Luisier, Mathieu ; Klimeck, Gerhard ; Ma, Fa-Jun ; Rustagi, Subhash C. ; Samudra, Ganesh S. ; Singh, Navab ; Lo, Guo-Qiang ; Kwong, Dim-Lee

  • Author_Institution
    Inst. of Microelectron., Agency for Sci., Technol. & Res. (A*STAR), Singapore
  • Volume
    30
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    526
  • Lastpage
    528
  • Abstract
    The experimental characterization of gate capacitance in nanoscale devices is challenging. We report an application of the charge-based capacitance measurement (CBCM) technique to measure the gate capacitance of a single-channel nanowire transistor. The measurement results are validated by 3-D electrostatic computations for parasitic estimation and 2-D self-consistent sp3s* d5 tight-binding computations for intrinsic gate capacitance calculations. The device simulation domains were constructed based on SEM and TEM images of the experimental device. The carefully designed CBCM technique thus emerges as a useful technique for measuring the capacitance and characterizing the transport in nanoscale devices.
  • Keywords
    CMOS integrated circuits; MOSFET; capacitance measurement; nanowires; scanning electron microscopy; semiconductor device measurement; transmission electron microscopy; 3D electrostatic computation; CBCM technique; CMOS device technology; SEM images; TEM images; charge-based capacitance measurement; nanoscale devices; parasitic estimation; single-channel nanowire transistor; subfemtofarad nanowire capacitance modeling; Charge-based capacitance measurement (CBCM); nanowire MOSFETs; self-consistent $C$– $V$ modeling; subfemtofarad-capacitance measurement;
  • fLanguage
    English
  • Journal_Title
    Electron Device Letters, IEEE
  • Publisher
    ieee
  • ISSN
    0741-3106
  • Type

    jour

  • DOI
    10.1109/LED.2009.2015588
  • Filename
    4813222