A 100‐V trench power MOSFET with taper‐shielded gate and non‐uniform drift region doping profile
Bibliographic record
Abstract
Abstract A 100‐V Taper‐Shielded trench Gate (TSG) power metal‐oxide‐semiconductor field‐effect transistor (MOSFET) with superior figure‐of‐merit (FOM) is proposed and investigated in this paper. The gate of the proposed TSG‐MOSFET has a tapered shape to reduce the gate‐to‐drain overlap capacitance ( C GD ) and the gate charge ( Q G ). The vertical drift region doping profile of the proposed TSG‐MOSFET is enhanced in two ways. First is to use a multi‐step epitaxial growth to produce a non‐uniform doping profile. Second is to place a lightly doped n ‐region at the trench bottom. The bulk electric field in the blocking state can be more evenly distributed, allowing a shorter drift region and lower specific ON‐resistance ( R ON,sp ). Both technology computer‐aided design (TCAD) simulations and experiments were performed to evaluate the proposed device. The proposed device exhibits an improved R ON,sp of 27 mΩ·mm 2 with a breakdown voltage ( BV ) of 105 V. The third quadrant performance and the reverse recovery characteristics are also greatly improved. During reverse conduction, the amount of the excessive carriers stored in the drift region is reduced due to the shortened drift region and optimized drift region doping profile. The reverse recovery charge ( Q rr ) is decreased from 70 to 49 nC. When compared to its state‐of‐the‐art counterparts, the measured [ R ON × Q G ] FOM and the Q rr showed a reduction of 23% and 28%, 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) | 0.000 | 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 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".