Axial GaN Nanowire‐Based LEDs
Bibliographic record
Abstract
Current solid state lamps rely on the use of blue light-emitting diodes (LEDs) and the generation of green/red light by phosphor-based down-conversion process. The aim of this chapter is to provide an overview of the recent development of axial GaN nanowire (NW) - based LEDs. It describes the fabrication and performance characteristics of NW LEDs using the top-down approach. The chapter presents the design, epitaxial growth and performance of typical bottom-up NW LEDs. It also presents various carrier loss processes, including Auger recombination, electron overflow/leakage and surface recombination and their impact on the performance of NW LEDs. The chapter also describes the design and performance characteristics of NW LEDs with the incorporation of p-type modulation doping, electron blocking layer (EBL) and surface passivation techniques. NW LEDs fabricated by the bottom-up approach have been intensively investigated.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".