The Graduate School Intelligent Methods for Test and Reliability (GS-IMTR) at the University of Stuttgart is funded by Advantest, one of the world leaders in Automated Test Equipment. It bundles the wide competencies of different institutes at the University’s Faculty for Computer Science, Electrical Engineering and Information Technology, and it is also open for other Faculties. Around ten PhD candidates and one Junior Professor will work together towards new solutions. The Graduate School’s scope includes topics such as design for test and diagnosis; post-silicon validation; test generation and optimization; robust device tuning; system-level test; lifetime test and reliability management; and test automation. A modern understanding of these topics demands novel artificial intelligence methods and has tight connections to data science, data analytics, data understanding, visualization, security, and privacy.
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Ring Oscillator Characterization under Supply Voltage and Body Bias Variation in 22nm FDSOI Technology
Aug 5, 2026
Strobel, Tim, 2026, "Ring Oscillator Characterization under Supply Voltage and Body Bias Variation in 22nm FDSOI Technology", https://doi.org/10.18419/DARUS-5866, DaRUS, V1
This dataset provides electrical characterization measurements of ten ring oscillator devices under test (DUT), implemented in 22nm fully depleted silicon-on-insulator (FDSOI) technology. All measurements were performed using an Advantest V93000 automated test equipment (ATE) under systematically varied supply voltage and body bias conditions. For...
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