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Variability-aware MMIC design through multiphysics modellin:
, In:
2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)
,
Guerrieri, S. Donati
;
Ramella, C.
;
Catoggio, E.
. - p. 1-4 , 2022
Link:
https://doi.org/10.1109/NEMO51452.2022.10038948
RT T1 <cTitle>2022 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO)</cTitle>: T1 <Title>Variability-aware MMIC design through multiphysics modelling</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10038948&Exemplar=1&LAN=DE A1 Guerrieri, S. Donati A1 Ramella, C. A1 Catoggio, E. A1 Bonani, F. YR 2022 K1 Analytical models K1 Histograms K1 Statistical analysis K1 Gallium arsenide K1 Power amplifiers K1 Closed box K1 Numerical models K1 Multiphysics K1 Process Induced Variations K1 TCAD nonlinear Variability K1 physics-based co-simulation K1 EM simulations K1 Black-box models K1 MMIC circuits SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/NEMO51452.2022.10038948 DO https://doi.org/10.1109/NEMO51452.2022.10038948 SF ELIB - SuUB Bremen
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