Effect of Interlayer on Doped Organic p–n Heterojunction Charge Generation Layers Using Impedance Spectroscopy
Bibliographic record
Abstract
Abstract Tandem organic light‐emitting diodes (OLEDs) are two or more emitting units that are connected in series with charge generation layer(s) (CGLs). Although these devices can achieve higher efficiencies and longer operating lifetimes, the CGL is a key element that determines the lifetime and efficiency of these devices. This study investigates the charge generation and operation mechanisms in pristine and aged organic p–n heterojunction CGLs with and without an interlayer (IL) using impedance spectroscopy (IS) and equivalent circuit simulations. Current density and voltage (J–V) analyses show a nearly three times higher current density of the CGL devices with an IL, requiring lower operating voltage and an unchanged onset voltage after aging, demonstrating device stability. The IS and equivalent circuit simulation results reveal that the charge generation efficiency of CGL devices with an IL can be attributed to the lower energy barrier imposed by the IL at the p–n heterojunction and the stability of its molecules after electrical aging. Further investigations providing a clear understanding of the reason behind the stability and efficient operating mechanism in these devices intuitively demonstrate that IS and equivalent circuit simulations can be effectively employed for electrical stability research on multilayered organic devices.
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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".