An accurate scaling approach for small‐signal modeling of high‐power HBT devices
Bibliographic record
Abstract
Abstract This paper presents an accurate scaling approach for small‐signal modeling of high‐power multi‐cell heterojunction bipolar transistors (HBTs). This approach is mainly based on the characterization of an elementary‐cell device and a proper modeling of the metalwork structure surrounding the transistor intrinsic part. The determined elementary‐cell small‐signal model is then scaled up to generate the S‐parameters of the multi‐cell device. An experimental validation was performed on a single‐cell and three‐cells GaAsHBT devices and excellent agreement was obtained between measured and simulated S‐parameters over frequency range 1–15 GHz. This modeling approach is particularly useful for on‐wafer characterization and modeling of high power HBT devices. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2429–2434, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22765
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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".