Phosphorescent organic light emitting diode efficiency enhancement using functionalized silver nanoparticles
Bibliographic record
Abstract
Silica coated silver nanoparticles (NPs) were incorporated into the emissive layer of a phosphorescent organic light emitting diode (PHOLED). As a result, the luminescence efficiency of the PHOLED was significantly improved under low charge carrier injection level. The silver NPs facilitate the exciton formation event and are responsible for the PHOLED performance improvement. In contrast, the incorporation of uncoated bare silver NPs greatly suppresses luminescence of the PHOLED due to metal NPs induced luminescence and exciton quenching. The silica shell coated on Ag NPs surface plays a dual role in enhancing the PHOLED luminescence efficiency: as an optical spacer, it avoids luminescence quenching of the dye caused by Ag NPs; as an insulator, it prevents exciton recombination at the Ag NPs surface. Therefore, a silica shell with thickness 13 nm or above is essential to enhance the PHOLED performance.
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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".