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 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(L_{RE\mathrm{S}URF})$</tex> 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 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) | 0.000 | 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) | 0.001 | 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 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".