AlGaN nanowire deep ultraviolet LEDs with polarization enhanced tunnel junction and p-AlGaN layer by molecular beam epitaxy
Bibliographic record
Abstract
In this work, we report the growth, fabrication, and characterization of aluminum gallium nitride (AlGaN) nanowire deep ultraviolet light-emitting diodes with a polarization engineered tunnel junction (TJ) and p-AlGaN layer. The major takeaway from this study is: first, devices emitting at around 250 nm with a maximum external quantum efficiency of around 0.01% are demonstrated. Second, the effect of the electric polarization field in the n+-Al0.1Ga0.9N/GaN/p+-Al0.1Ga0.9N TJ due to the incorporation of the GaN layer is observed by comparing the current-voltage (I–V) characteristics of devices with different GaN thicknesses. The incorporation of the GaN layer improves the I–V characteristics due to the improved tunneling process originating from the band bending induced by the polarization charges at GaN and AlGaN heterointerfaces. Third, the role of the graded p-AlGaN layer on the device's electrical performance is also elucidated. It is found that the graded p-AlGaN layer plays a significant role in improving the device electrical performance. Finally, the improved device electrical performance also transfers to the device optical performance.
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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".