Double-sided Emission of Inverted Quantum-dot Light Emitting Diode by Using Gold Nanowires (AuNW)
Bibliographic record
Abstract
Research towards Quantum Dots (QDs) derived from CdSe/ZnS has attracted worldwide attention because of its exceptional optoelectronic properties and use in quantum dots-based light emitting diodes. Usually, a highly conductive electron-transport layer along with hole-transporting layers (HTLs) having low-mobility, and a vacuum-deposited opaque metal electrode are used in the inverted CdSe/ZnS-based QLED. Because of this structure, unbalanced charge injection into the emissive layer occurs, affecting the device's output luminance and stability. Additionally, the fabrication process is more challenging, costly, and time-consuming when using the vacuum-deposition approach. In order to address all of these issues, we used a non-vacuum technique for fabricating an all-solution processable double-sided emitting inverted QLED with a cascade structure and a transparent gold nanowire (AuNW) electrode to obtain emission at the top-side. According to the results, the fabricated QLED had a low turn-on voltage of 2.2 V, luminance of 3905 cd m-2, high current efficiency of 5.9 cd A-1and a 3.4 % external quantum efficiency. Double-sided QLED devices with AuNW electrode might lead to new lighting and display technologies, according to the findings of this study.
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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) | 0.000 | 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 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".