Performance predictions for n-p-n Al/sub x/Ga/sub 1-x/N/GaN HBTs
Bibliographic record
Abstract
Predictions of the attainable current gain and cut-off frequency of n-p-n Al/sub x/Ga/sub 1-x/N/GaN HBTs are made using compact models. This analytical approach allows the minority-carrier lifetime in the base to be readily identified as a critical parameter in the determination of the gain. For realistic values of lifetime, room-temperature gains in the region of 200-2000 should be attainable, with a graded-base being necessary for highest performance. Gains around 100 are predicted for operation at 600 K. Design of the base is shown to be also important in attaining high cutoff frequencies: a value around 30 GHz would appear to be the upper limit, and its realization would need a graded-base device. Spontaneous polarization is shown to be unlikely to have a major impact on device performance. On the other hand, incomplete ionization of the base dopant is shown to be an important factor.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".