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Automation Of Thermal Model Extraction And Optimization

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Automation Of Thermal Model Extraction And Optimization

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dc.contributor.author Oji, Obiorah en_US
dc.date.accessioned 2008-09-17T23:35:14Z
dc.date.available 2008-09-17T23:35:14Z
dc.date.issued 2008-09-17T23:35:14Z
dc.date.submitted August 2008 en_US
dc.identifier.other DISS-2255 en_US
dc.identifier.uri http://hdl.handle.net/10106/1137
dc.description.abstract Semiconductor device model optimization is highly beneficial; it improves the accuracy with which we can predict the performance of real devices and whole circuits before they are fabricated. This helps save time and money in being able to predict undesirable circuit responses. Although, it proves to be very useful, it can become very time consuming. The goal of this thesis is to use readily available tools to enhance and automate the somewhat complex process of optimization and streamline it so that results can be analyzed quicker with the goal of generating VBIC models that accurately match the behavior of the real device. en_US
dc.description.sponsorship Carter, Ronald en_US
dc.language.iso EN en_US
dc.publisher Electrical Engineering en_US
dc.title Automation Of Thermal Model Extraction And Optimization en_US
dc.type M.S. en_US
dc.contributor.committeeChair Carter, Ronald en_US
dc.degree.department Electrical Engineering en_US
dc.degree.discipline Electrical Engineering en_US
dc.degree.grantor University of Texas at Arlington en_US
dc.degree.level masters en_US
dc.degree.name M.S. en_US
dc.identifier.externalLink https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=226
dc.identifier.externalLinkDescription Link to Research Profiles

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