1.2‐kV silicon carbide planar split‐gate MOSFET with source field plate for superior figure‐of‐merits
Bibliographic record
Abstract
Abstract Planar s plit‐ g ate MOSFETs (SG‐MOSFETs) are promising in high‐frequency power applications due to the fast turn on/off speeds and low switching loss. However, SG‐MOSFETs suffer from crowded electric field at the edge of the split poly‐Si gate, resulting in the degradation of the blocking voltage and the gate oxide reliability. This issue becomes more critical in 4H‐SiC MOSFETs due to the high critical breakdown electric field. In this work, a new 1.2‐kV 4H‐SiC SG‐MOSFET structure is proposed and investigated by TCAD simulation. The proposed structure features a s ource metal f ield p late located between two adjacent split poly‐Si gates (termed SFP‐SG‐MOSFET). In the blocking state, the source metal field plate reduces the peak electric field at the edge of the poly‐Si gate. The maximum electric field in the gate oxide of the proposed SFP‐SG‐MOSFET is reduced by 52.8% compared with the SG‐MOSFET, for reliable operation. The reverse transfer capacitance ( C rss ) and gate‐to‐drain charge ( Q gd ) are reduced by 56.4% and 61.8% compared with SG‐MOSFETs, respectively. Therefore, the high‐frequency figure‐of‐merits (HF‐FOM) [ R on × C rss ] and [ R on × Q gd ] are improved by 2.2 times and 2.5 times, respectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".