An Ultra-Low Specific ON-Resistance LDMOST With Self-Driven Split Gate
Bibliographic record
Abstract
An n-Laterally Double Diffused Metal Oxide Semiconductor Field Effect Transistor (LDMOST) with self-driven split p-top gate is studied. By integrating a low-voltage charge pump circuit, a constant positive voltage (≈10 V) is self-generated in the OFF-state and applied to the split p-top electrode in the ON-state. This voltage assists the accumulation of electrons near the surface of the n-drift region. As a result, the specific ONresistance RON,spis reduced without an increase in effective gate charge QG. Moreover, the adaptation of the optimum variation lateral doping enables a shorter n-drift region length to support the same breakdown voltage. The simulation results indicate that for a 600 V device, the RON,spis 20.7 mQ · cm2. This is approximately five times smaller than a conventional double REduced SURface Field LDMOST.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".