Impact of Isolation-Feature Geometry on Self-Heating of AlGaN/GaN HFETs
Bibliographic record
Abstract
Correlation between the isolation-feature geometry and average channel temperature of AlGaN/GaN heterojunction field-effect transistors (HFETs) is investigated. The reported transistors of this paper were realized on a variety of isolation-feature geometries resembling the following structures: 1) island; 2) fin; 3) comb; and 4) ladder. The average channel temperature of the devices from all categories of the fabricated AlGaN/GaN HFETs was studied using finite element analysis in ANSYS Mechanical. To check the validity of these analyses, results were compared with the experimental data. According to these studies, a less pronounced self-heating is observed in devices, which enjoyed a closer proximity between the drain-edge of the gate and side-walls of the isolation feature. Among these devices, for the same moderate dc bias power of 5 W/mm (i.e, per millimeter width of the transistor), ~60 K decrease in the average channel temperature is observed.
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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) | 0.000 | 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".