Device-Circuit Performance Analysis of a High-VT Recessed-p-Gate HEMT Employing Doped-Buried Layer
Bibliographic record
Abstract
Nowadays, one of the appealing choice of transistors for the next generation of high power devices is, AlGaN/GaN high-electron-mobility transistor (AlGaN/GaN-HEMT). Prior to now, numerous experiments were conducted utilizing various gate engineering techniques to propose high threshold voltage enhancement-mode HEMT architectures. In this paper, two new e-mode HEMT structures are proposed by taking motivation from our previously reported structure of Recessed p-GaN gate HEMT. By incorporating p-doped buried layer with recessed p-GaN gate in one HEMT structure, the threshold voltage is significantly increased. In first experiment, a p-doped GaN region is buried in to the Gallium Nitride (GaN) substrate of conventional p-GaN gate HEMT. In second experiment, a p-GaN buried layer is inserted in to GaN substrate of recessed p-GaN gate HEMT. V th of above 3V is obtained from the proposed structures, which is suitable to be implemented for high-frequency power switching applications. The proposed structures provides flexibility to tune V th and I d . The digital circuit compatibility is also tested by using both the proposed structures in a resistive-load inverter circuit. The transient analysis confirms that the HEMTs work properly in inverter circuit and the VTC analysis shows 98.5% of output voltage swing at input voltage of 5V. Highest NM H and NM L is measured as 2.85V and 2.65V respectively. The device simulation, calibration and circuit simulation is done in Silvaco TCAD software.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".