• DocumentCode
    2800103
  • Title

    Yield determination and design optimization of GaAs MESFETs using a physical simulator

  • Author

    Bilbro, G.L. ; Stoneking, D.E. ; Trew, R.J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • fYear
    1991
  • fDate
    20-23 Oct. 1991
  • Firstpage
    171
  • Lastpage
    174
  • Abstract
    The authors have enhanced TEFLON, the physics based large-signal GaAs MESFET model, to predict yield of a GaAs MESFET design before fabrication. Device acceptance criteria include large-signal RF operating characteristics such as maximum power added efficiency and power out at 1 dB gain compression. SUPREM 3.5 has been incorporated into TEFLON so that optimizable parameters include processing specifications for material deposition, ion implantation, and annealing as well as physical parameters such as device geometry. The authors have incorporated Monte Carlo techniques to statistically treat disturbances of the physical and processing parameters. Finally they have integrated the yield estimation modules with an optimizer so a design can be centered for maximum yield in the presence of process disturbances.<>
  • Keywords
    CAD; III-V semiconductors; Monte Carlo methods; Schottky gate field effect transistors; electronic engineering computing; gallium arsenide; semiconductor device models; GaAs; GaAs MESFET; Monte Carlo techniques; SUPREM 3.5; TEFLON; annealing; design optimization; device geometry; ion implantation; large signal model; large-signal RF operating characteristics; material deposition; maximum power added efficiency; physical simulator; power out; processing parameters; yield; Annealing; Design optimization; Fabrication; Gain; Gallium arsenide; Ion implantation; MESFETs; Physics; Predictive models; Radio frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Gallium Arsenide Integrated Circuit (GaAs IC) Symposium, 1991. Technical Digest 1991., 13th Annual
  • Conference_Location
    Monterey, CA, USA
  • Print_ISBN
    0-7803-0196-X
  • Type

    conf

  • DOI
    10.1109/GAAS.1991.172664
  • Filename
    172664