Physics-based analysis of low frequency drain noise-current in Al<sub><i>x</i></sub>Ga<sub>1−<i>x</i></sub>N/GaN HFETs
Bibliographic record
Abstract
A physics-based theoretical model for the low frequency drain noise-current characteristics of AlGaN/GaN heterojunction field effect transistors (HFETs) is developed based on the number fluctuation noise theory. Founded on the calculation of the ground and first excited subband energy levels of the two-dimensional electron gas (2DEG) at an AlGaN/GaN heterointerface using the variational method, the model incorporates both tunnelling and thermally activated processes of trapping/de-trapping of the 2DEG carriers into and out of the trap sites of the barrier and buffer layers. It is found that the thermally activated process is dominant in the frequency range where a 1/ f 2 bulge signature is observed, whereas the tunnelling mechanism is dominant in the frequency range where a 1/ f spectrum supersedes. A dominant trap level in the buffer layer, which is responsible for the 1/ f 2 bulge signature, is estimated by fitting the model with temperature-dependent experimental observations. The theoretical results are in good agreement with experimental data.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 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".