Fully Automated RF-Thermal Stress Workbench with S-Parameters Tracking for GaN Reliability Analysis
Bibliographic record
Abstract
The rapid development of III-V technologies for telecommunication and radar markets need the meeting of performances (power, frequency) criteria as well as reliability assessment. Nitride HEMT technologies are known to reveal a large variety of failure electrical signatures, and it is also largely accepted that multi-tools (multi physics) approaches is the only suitable way to understand the failure mechanisms and to improve the technologies. Experimental stress workbenches usually allow to track a given number of static/dynamic parameters, but specific characterization are only performed at initial and final steps on the devices. This paper proposes a new approach with S-parameters measurement performed during RF stresses without removing the devices under test (in a thermally controlled oven). Then intermediate knowledge of the electrical (small signal) behavior of the devices can be assessed, and crossed with large-signal and static time-dependent signatures.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".