Modeling the Effects of Interface Traps on DC Characteristics in GaN High‐Electron‐Mobility Transistors
Bibliographic record
Abstract
This paper presents a physics‐based analytical model for investigating charge trapping in GaN high‐electron‐mobility transistors (HEMTs), using the École Polytechnique Fédérale de Lausanne HEMT core model. It introduces a realistic continuous density of interface traps, distributed across the upper half of the gallium nitride bandgap with an exponential tail function, differing from traditional discrete energy levels. The model's accuracy is confirmed through alignment with technology computer‐aided design simulations and experimental data from a practical HEMT. Validation also includes comparing transfer and output characteristics against experimental results of an AlGaN/GaN device. This work lays the groundwork for a compact model that addresses interface‐trap‐induced degradation in GaN HEMT performance.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".