(Invited) Phosphor-Free III-Nitride Nanowire White Light Emitting Diodes: Challenges and Prospects
Bibliographic record
Abstract
Tremendous progress has been made in GaN-based nanowire light-emitting diodes (LEDs), which can exhibit drastically reduced dislocation densities and polarization fields, compared to the conventional quantum well devices. However, the performance of nanowire LEDs is limited due to the poor hole transport, the electron overflow, and the large surface nonradiative recombination. In this context, we have investigated the molecular beam epitaxial growth, fabrication and characterization of full-color InGaN/(Al)GaN dot-in-a-wire LEDs on Si substrates, wherein the emission characteristics are controlled by the dot properties in a single epitaxial step. With the use of p-type modulation doping, electron blocking layer (EBL), and core-shell heterostructures, we have further demonstrated superior performance phosphor-free white LEDs that can exhibit record high output power of ~ 5.2 mW and unprecedentedly high color rendering index (CRI) of > 95.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".