Yield optimization using a GaAs process simulator coupled to a physical device model

A physics-based large-signal GaAs MESFET model and circuit simulator has been developed to predict and optimize the yield of GaAs MESFET designs before fabrication. Device acceptance criteria include both small- and large-signal RF operating characteristics such as small-signal gain, maximum power a...

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Bibliographic Details
Published in:IEEE transactions on microwave theory and techniques 1992-07, Vol.40 (7), p.1353-1363
Main Authors: Stoneking, D.E., Bilbro, G.L., Gilmore, P.A., Trew, R.J., Kelley, C.T.
Format: Article
Language:English
Subjects:
Circuit simulation
Coupling circuits
Design optimization
Fabrication
Gallium arsenide
MESFET circuits
Predictive models
Radio frequency
Semiconductor process modeling
Yield estimation
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Summary:A physics-based large-signal GaAs MESFET model and circuit simulator has been developed to predict and optimize the yield of GaAs MESFET designs before fabrication. 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. Channel doping details are described on the basis of processing specifications for parameters such as material deposition, ion implantation, and implant annealing. Monte Carlo techniques are used to estimate yield when disturbances in the physical parameters are modeled as multivariate Gaussian distributions. The yield estimator is integrated with an optimizer so that a design can be centered for maximum yield in the presence of process disturbances.< >
ISSN:0018-9480
1557-9670
DOI:10.1109/22.146318