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Physical Modeling of Charge Trapping in 4H-SiC DMOSFET Technologies
Silicon carbide (SiC) MOSFETs still exhibit higher drifts of the threshold voltage than comparable silicon devices due to charge trapping, especially regarding small time scales. Understanding this behavior and the consequences in application relevant conditions is therefore of high research interes...
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Published in: | IEEE transactions on electron devices 2021-08, Vol.68 (8), p.4016-4021 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Silicon carbide (SiC) MOSFETs still exhibit higher drifts of the threshold voltage than comparable silicon devices due to charge trapping, especially regarding small time scales. Understanding this behavior and the consequences in application relevant conditions is therefore of high research interest. Since charge trapping at different defects close to the SiC/ SiO 2 interface and in the bulk oxide is strong bias and temperature-dependent, the phenomenon is referred to as bias temperature instability (BTI). It has been shown that drifts caused by BTI vary both in transient shape and magnitude for commercially available devices. These differences arise from defect densities and properties in the respective technologies. A physical model together with defect parameters that explain the charge transfer reactions at the defects is essential to understand all peculiarities of the transient degradation. In this work, we use a novel method to semiautomatically extract defect parameters within a two-state nonradiative multiphonon model framework. Our work reveals properties of defects responsible for shifts of the threshold voltage for both short-term ac and long-term dc stress conditions which are accurately reproduced for three different DMOS technologies. Our calibrated simulation framework is further used to extrapolate device degradation at operation relevant ac bias conditions to typical device lifetimes. |
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ISSN: | 0018-9383 1557-9646 |
DOI: | 10.1109/TED.2021.3092295 |