Flexible Multicolor Electroluminescent Devices on Cellulose Nanocrystal Platform
Bibliographic record
Abstract
In this work, flexible electroluminescent devices (FELDs) are demonstrated using environmentally‐friendly cellulose nanocrystal (CNC) substrates with a silver nanowire conductive network. The CNC sheets with drop‐casted silver nanowires act as highly transparent conductive electrodes for an electroluminescent layer (a phosphorescent ink containing Cu/Br‐doped ZnS microparticles). This phosphorescent device requires operating voltages as low as 7 V and achieves high luminance of up to 43 Cd m−2 (at 50 V). Furthermore, through impregnating the CNC host material with Rhodamine 6G or Thiazol Yellow G, different emission colors are achieved: blue, turquoise, green, and purple light emission having a broad (400–650 nm) luminescence spectrum are obtained. This device, which uses earth‐abundant, cost‐effective, and recyclable materials, is envisioned to lead to advancements in the areas of electronics and lighting technology.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".