At-Bias Extraction of Access Parasitic Resistances in AlGaN/GaN HEMTs: Impact on Device Linearity and Channel Electron Velocity
Bibliographic record
Abstract
AlGaN/GaN high-electron mobility transistor "hot" parasitic source and drain resistances RS,Dare determined under operating biases through wideband S-parameter measurements, without the use of "ColdFET" biasing conditions. Both RSand RDare found to increase dramatically over ColdFET values, both for biases approaching threshold and for open-channel conditions. Parasitic resistance values have a significant effect on the extracted small-signal equivalent circuit model elements, as well as on the apparent device linearity. The bias dependence of access resistances modifies the understanding of the transistor physical operation: A revised delay time analysis accounting for the bias dependence of parasitic resistances shows that the effective average electron velocity in the AlGaN/GaN two-dimensional electron-gas channel is approximately equal to 1.9 times 107cm/s. This new value of channel velocity is also consistent with the CGS/gMOratio obtained when the bias dependence of RSand RDis accounted for during the extraction of the transistor small-signal equivalent circuit model
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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) | 0.000 | 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 | 0.001 |
| 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 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".