Characterization of AlGaN/GaN HEMT Devices Grown by MBE
Bibliographic record
Abstract
Ammonia-MBE growth techniques were developed to allow the production of AlGaN and GaN layers suitable for electronic applications on sapphire [000] substrates. DC and RF characterization of AlGaN/GaN HEMT devices have been carried out over a temperature range from -40°C to 200°C. The devices characterized were two finger × 50 µm wide designs with measured gate lengths ranging from 1 µm to 3.5 µm. Hall and CV measurements indicate a 2DEG sheet charge density at the AlGaN/GaN heterojunction interface as high as 1.9×10¹³/cm² and 1.5×10¹³/cm² respectively. Low field mobilities in excess of 950 cm²/V×s have been measured. Room temperature measurements for a device with a gate length of 1 µm and Vds set to 10 V exhibited a pinch off voltage of -5 volts. A maximum drain current of 946 mA/mm and a peak transconductance of 160 mS/mm were also measured. The off state drain to source breakdown voltage is 33 volts. Room temperature RF characterization with Vds=10 volts indicate intrinsic device fT and fMAX to be 15.6 GHz and 49.4 GHz respectively. At maximum power dissipation and chuck temperature, the channel temperature is estimated to be >320°C.
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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 | 0.000 |
| 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) | 0.001 | 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".