Investigation of threshold voltage stability of SiC MOSFETs
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Bibliographic record
Abstract
Silicon carbide (SiC) based metal-oxide semiconductor-field-effect-transistors (MOSFETs) show excellent switching performance and reliability. However, compared to silicon devices the more complex properties of the semiconductor-dielectric interface imply some natural peculiarities in threshold voltage variation. This paper analyzes threshold voltage hysteresis effects, bias temperature instability effects (BTI) and their relevance for the switching behavior. Most of the effects can be understood by means of simple physical models and do not harm reliability and performance of the device. It turns out that the standard norm test and readout procedures typically used to characterize threshold voltage and threshold voltage drifts for Si devices are insufficient and need to be adapted for SiC MOSFETs in order to get reproducible and solid results.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it