Alternating-Current InGaN/GaN Tunnel Junction Nanowire White-Light\nEmitting Diodes
Bibliographic record
Abstract
The\ncurrent LED lighting technology relies on the use of a driver to convert\nalternating current (AC) to low-voltage direct current (DC) power,\na resistive <i>p</i>-GaN contact layer to inject positive\ncharge carriers (holes) for blue light emission, and rare-earth doped\nphosphors to down-convert blue photons into green/red light, which\nhave been identified as some of the major factors limiting the device\nefficiency, light quality, and cost. Here, we show that multiple-active\nregion phosphor-free InGaN nanowire white LEDs connected through a\npolarization engineered tunnel junction can fundamentally address\nthe afore-described challenges. Such a <i>p</i>-GaN contact-free\nLED offers the benefit of carrier regeneration, leading to enhanced\nlight intensity and reduced efficiency droop. Moreover, through the\nmonolithic integration of <i>p</i>-GaN up and <i>p</i>-GaN down nanowire LED structures on the same substrate, we have\ndemonstrated, for the first time, AC operated LEDs on a Si platform,\nwhich can operate efficiently in both polarities (positive and negative)\nof applied voltage.
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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) | 0.000 | 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) | 0.100 | 0.002 |
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; both teacher heads agree on what is shown here.
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".