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• W1968409384 abstract "This paper addresses a modeling and simulation methodology for analog circuit design with amorphous-GIZO thin-film transistors (TFTs). To reach an effective circuit design flow, with commercially available tools, a TFT model has been first developed with an artificial neural network (ANN). Multilayer perceptron with backpropagation algorithm has been adopted to model the static behavior of the TFT devices, for different aspect ratios. The model was then implemented in Verilog-A, to allow a quick instantiation in circuit. Simulations using Cadence Spectre are performed to validate the model. On a second phase, simulation results of basic analog circuits, with this ANN model, are verified against the actual functional results, namely an adder, subtractor, and current mirror circuit. Results demonstrate not only the ANN model accuracy and compatibility with dc and transient analysis, but also show the a-GIZO TFT capability to perform analog operations." @default.
• W1968409384 created "2016-06-24" @default.
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• W1968409384 date "2012-09-01" @default.
• W1968409384 modified "2023-10-16" @default.
• W1968409384 title "Basic analog circuits with a-GIZO thin-film transistors: Modeling and simulation" @default.
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• W1968409384 doi "https://doi.org/10.1109/smacd.2012.6339389" @default.
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