Efficiency degradation induced by surface defects-assisted tunneling recombination in GaN/InGaN micro-light-emitting diodes
Bibliographic record
Abstract
Two GaN/InGaN micro-light-emitting diodes (micro-LEDs) grown on the same substrate with mesa sizes of 20 μm and 100 μm are measured from 100 K to 300 K to investigate the role that surface defects play in device efficiency. The experimental results show that the surface defect-assisted tunneling process dominates the nonradiative recombination of GaN/InGaN micro-LEDs at 100 K, while the surface defect-assisted Shockley–Read–Hall recombination becomes dominant at room temperature. The temperature- and voltage-dependent tunneling current for both devices is calculated, which shows that the surface defect-assisted tunneling process is one of the major nonradiative recombination mechanisms in GaN/InGaN micro-LEDs with smaller mesa sizes at room temperature. A few potential approaches are proposed to suppress this surface defect-assisted tunneling recombination. The revised external quantum efficiency model is proposed to include the tunneling recombination effect and study the efficiency performance of GaN/InGaN micro-LEDs.
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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".