%0 Conference Proceedings %T Uncertainty quantification of SiP based integrated voltage regulator %+ Institut d'Électronique et des Technologies du numéRique (IETR) %A Barbi, M. %A Torun, H.M. %A Swaminathan, M. %A Stievano, I.S. %A Canavero, F.G. %A Besnier, Philippe %Z NSF, National Science Foundation %Z CNS, Cognitive Neuroscience Society %< avec comité de lecture %B 22nd IEEE Workshop on Signal and Power Integrity, SPI 2018 %C Brest, France %I Institute of Electrical and Electronics Engineers Inc. %P 1-4 %8 2018-05-22 %D 2018 %R 10.1109/SaPIW.2018.8401677 %K Uncertainty quantification %K Polynomial chaos %K Magnetic core inductor %K Integrated voltage regulator %K 3D integration %Z Engineering Sciences [physics]Conference papers %X This paper deals with the uncertainty quantification applied to the analysis of Integrated Voltage Regulator (IVR) efficiency. It presents a meta-model based on a sparse polynomial chaos technique, aiming at estimating statistical quantities of a response with a relative low computational cost compared to Monte Carlo (MC) simulation. Results obtained are validated against MC simulation. © 2018 IEEE. %G English %L hal-01874626 %U https://univ-rennes.hal.science/hal-01874626 %~ UNIV-NANTES %~ UNIV-RENNES1 %~ CNRS %~ INSA-RENNES %~ IETR %~ STATS-UR1 %~ CENTRALESUPELEC %~ UR1-HAL %~ UR1-MATH-STIC %~ UR1-UFR-ISTIC %~ IETR-WAVES %~ IETR-ADH %~ TEST-UR-CSS %~ UNIV-RENNES %~ INSA-GROUPE %~ TEST-HALCNRS %~ UR1-MATH-NUM %~ IETR-EWAVES %~ NANTES-UNIVERSITE %~ UNIV-NANTES-AV2022