Enhancing spectral uniformity in full-spectrum white LEDs using an SiO <sub>2</sub> aerogel encapsulant
Bibliographic record
Abstract
Achieving high luminous efficacy and spectral uniformity in full-spectrum white LEDs (FS-WLEDs) remains challenging due to phosphor sedimentation during encapsulant curing. This study introduces an SiO 2 aerogel-doped composite that provides direct evidence of sedimentation suppression via Ce-line scan EPMA. Incorporating 1.0 wt% SiO 2 aerogel into a four-phosphor InGaN-based FS-WLED package not only mitigated phosphor precipitation but also enhanced light conversion efficiency, leading to a 7.8% increase in luminous efficacy (110 lm/W), an average color rendering index improvement from 91 to 95, and a 194 K reduction in angular color temperature deviation. Long-term tests (1008 h at 150°C) confirmed its stability. This scalable, low-cost approach combines sedimentation control, material savings, and proven reliability for next-generation solid-state lighting.
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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) | 0.000 | 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 teacher head, 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".