Physics-based Compact Model for Multi-channel AlGaN/GaN Schottky Barrier Diodes
Bibliographic record
Abstract
This paper showcases a simple yet comprehensive compact model for multichannel AlGaN/GaN Schottky-barrier diode (SBD) with a p-GaN RESURF layer. Model formulation, including equivalent circuit, key equations, and parameter assign-ment, are explained in details, together with parameter extraction flow. The model correctly reflects the device physics in forward-bias, reverse-bias and breakdown conditions, capturing critical behaviors associated with multi-channel turn-on and RESURF effects from the p-GaN layer. Good accuracy, scalability, and computation robustness are validated via: IV, CV, breakdown simulations. The physics-based model can also be used as a tool for technology optimization and scaling projections. This is illustrated via simulations on (1) the impact of barrier/channel thickness on device capacitance and (2) the effect of RESURF-length$(L_{RE\mathrm{S}URF})$on the Baliga Figure-of-Merit (FoM) and area-scaling FoM. With minimum adjustment, the proposed model also serves as a first step towards compact modeling of multi-channel AlGaN/GaN transistor.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".