Alternating‐Current‐Driven Color‐Tunable Organic Light‐Emitting Triodes
Bibliographic record
Abstract
Abstract Exploring multifunctional, miniaturized light‐emitting devices with well‐controlled operation is deemed vital to meet the increasing demands of full‐color displays and lighting systems. Nevertheless, complicated architectures, low performance, and poor operational control remain daunting challenges in the realization of smart devices. Here, an alternating‐current‐driven organic light‐emitting triode (AC‐OLETr) is reported with simple yet versatile architecture that emits light with precise control over the color and intensity. The fabricated AC‐OLETr devices are driven and regulated by a three‐phase AC supply, making them highly suitable for implementation in state‐of‐the‐art electric systems. A coplanar two‐phase AC drives a pair of light‐emitting units of different colors, while a third‐phase AC tunes the luminescence intensity ratio of the former two units through changes in its phase difference. Furthermore, interdigitated electrodes are employed to achieve effective control over the light emission, extending from yellow, through white, to the blue region. The proposed configuration offers a simplistic approach to realize color‐tunable light emission and holds great potential for full‐color displays and next‐generation solid‐state lighting.
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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".