DocumentCode :
1474923
Title :
Modeling superconducting components based on the fabrication process and layout dimensions
Author :
Perold, Willem J. ; Fourie, Coenrad J.
Author_Institution :
Dept. of Electr. & Electron. Eng., Stellenbosch Univ., South Africa
Volume :
11
Issue :
1
fYear :
2001
fDate :
3/1/2001 12:00:00 AM
Firstpage :
345
Lastpage :
348
Abstract :
A procedure is described where the mask dimensions of superconducting components are used in SPICE simulations to predict the performance of a device. Thickness tolerances of the fabrication process, as well as mask bias offsets and mask tolerances are included in the component models. This makes it possible to predict circuit yield by Monte Carlo analyses, which are based on the fabrication process design rules. Model descriptions of all the components used in a standard superconductor multilayer process are given, and the accuracy of the models are verified. The superconducting components that are modeled include microstrip transmission lines, coupled transmission lines, resistors and Josephson junctions. The usefulness of this procedure is demonstrated by simulation results of a stack amplifier, where the yield of the circuit is calculated for the lumped element model and the proposed model, which includes parasitic elements
Keywords :
Monte Carlo methods; SPICE; superconducting devices; Josephson junction; Monte Carlo analysis; SPICE simulation; circuit yield; coupled transmission lines; design rule; fabrication process; layout dimensions; lumped element model; mask bias offset; mask tolerance; microstrip transmission line; parasitic element; resistor; stack amplifier; superconducting component; superconductor multilayer; thickness tolerance; Circuit simulation; Distributed parameter circuits; Fabrication; Josephson junctions; Monte Carlo methods; Nonhomogeneous media; Predictive models; Process design; SPICE; Superconducting transmission lines;
fLanguage :
English
Journal_Title :
Applied Superconductivity, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8223
Type :
jour
DOI :
10.1109/77.919353
Filename :
919353
Link To Document :
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