A dual-gate and Γ-type field plate GaN base E-HEMT with high breakdown voltage on simulation investigation
Bibliographic record
Abstract
Abstract This paper proposes to insert a buried P-type gate (BPT gate) under the channel layer of the recessed MIS-high electron mobility transistor (HEMT) to form a dual-gate HEMT. And through simulation calculation, the device performance is calculated and the working mechanism of the BPT gate is explained in detail. Compared with a conventional AlGaN/AlN/GaN HEMT and a gate-recessed MIS-HEMT, the dual-gate HEMT has a higher breakdown voltage (1126 V) and a larger threshold voltage (1.5 V). The results show that inserting a BPT gate in a gate-recessed MIS-HEMT can increase the threshold voltage and improve the breakdown characteristics. Through the optimization of the device structure, it is found that the combination of the MIS-gate and the Γ-type field plate based on the dual-gate device can obtain a higher breakdown voltage. Its breakdown voltage can reach 3041 V, and the figure of merit is as high as 3.56 GW cm −2 . This reveals that the combination of dual-gate and Γ-type field plate has great potential in the manufacture of enhancement-mode and high-voltage power transistors.
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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) | 0.002 | 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".