Title :
Yield optimization using a GaAs process simulator coupled to a physical device model
Author :
Stoneking, D.E. ; Bilbro, G.L. ; Trew, R.J. ; Gilmore, P. ; Kelley, C.T.
Author_Institution :
North Carolina State Univ., Raleigh, NC, USA
Abstract :
The enhancement of TEFLON, a physics-based large-signal GaAs MESFET model and circuit simulator that predicts and optimizes the yield of GaAs MESFET designs before fabrication, is discussed. Device acceptance criteria include both small- and large-signal RF operating characteristics such as small-signal gain, maximum power added efficiency, and output power at 1 dB gain compression. SUPREM 3.5, a process simulator, has been incorporated into TEFLON so that the MESFET channel donor distribution can be described directly from processing specifications for material deposition, ion implantation, and implant annealing. Monte Carlo techniques are used to estimate yield when disturbances in the MESFET parameters are modeled as multivariate Gaussian distributions. Finally, the yield estimator has been integrated with an optimizer so that a design can be centered for maximum yield in the presence of process disturbances
Keywords :
III-V semiconductors; Monte Carlo methods; Schottky gate field effect transistors; circuit analysis computing; digital simulation; electronic engineering computing; equivalent circuits; field effect integrated circuits; gallium arsenide; integrated circuit technology; semiconductor device models; GaAs process simulator; MESFET model; Monte Carlo techniques; SUPREM 3.5; TEFLON; channel donor distribution; circuit simulator; implant annealing; ion implantation; large-signal RF operating characteristics; material deposition; maximum power added efficiency; multivariate Gaussian distributions; output power; physical device model; processing specifications; small-signal gain; yield estimator; yield optimisation; Circuit simulation; Coupling circuits; Design optimization; Fabrication; Gallium arsenide; MESFET circuits; Power generation; Predictive models; Radio frequency; Yield estimation;
Conference_Titel :
High Speed Semiconductor Devices and Circuits, 1991., Proceedings IEEE/Cornell Conference on Advanced Concepts in
Conference_Location :
Ithaca, NY
Print_ISBN :
0-7803-0491-8
DOI :
10.1109/CORNEL.1991.170007