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Filtering by: Contributor Semprini, Lewis Degree Field Electrical and Computer Engineering Subject Integrated circuits -- Noise

Predictive methodologies for substrate parasitic extraction and modeling in heavily doped CMOS substrates

Creator:

Sharma, Ajit

Abstract:

This thesis presents an automated methodology to calibrate the substrate profile for accurate prediction of substrate parasitics using Green's function based extractors. The technique requires fabrication of only a few test structures and results in an accurate three layered approximation of a heavily doped epitaxial silicon substrate. The obtained substrate...

Resource Type:

Masters Thesis

Full Text:

have worked with them. I would also like to acknowledge Dr. Chenggang Xu and Dr. Lewis Semprini, for