Simulation Study of a <i>p</i>-GaN HEMT With an Integrated Schottky Barrier Diode
Bibliographic record
Abstract
In this article, a novel${p}$-GaN high-electron-mobility transistor (HEMT) with a built-in Schottky barrier diode (SBD) is proposed and investigated by TCAD simulation. The anode contact of the integrated SBD is isolated from the ohmic contact of the source electrode by a${p}$-GaN isolation region. The cathode of the SBD is connected to the drain electrode. In the proposed Schottky barrier diode/HEMT (SB-HEMT), a channel under the${p}$-GaN isolation region is turned on during forward conduction to further reduce the specific ON-resistance (${R}_{ {\text{ON}},\text {sp}}$). With a minimum sacrifice on${R}_{ {\text{ON}},\text {sp}}$, the reverse ON-state voltage,${V}_{\text {R}- {\text{ON}}}$(at a current density of 50 mA/mm), for the SB-HEMT is reduced by 33% (from 2.43 to 1.62 V) when compared with a conventional HEMT (C-HEMT). Compared with the C-HEMT with a separate on-chip SBD (C-HEMT/SBD), the SB-HEMT shows much better trade-off between${V}_{\text {R}- {\text{ON}}}$and${R}_{ {\text{ON}},\text {sp}}$. The total switching loss (${E}_{\text {total}}$) of the proposed SB-HEMT with resistive load is lower than that of the C-HEMT and is reduced by up to 21% when compared with that of the C-HEMT/SBD with different area ratio between the HEMT and SBD regions.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".