Interface Engineering for High‐Efficiency Perovskite Light‐Emitting Diode Through Poly(Vinyl Pyrrolidone) (PVP) Modification
Bibliographic record
Abstract
ABSTRACT The performance of a perovskite light‐emitting diode (PeLED) is strongly dependent on the perovskite film quality. Among them, the buried interface plays a critical role in the crystallization dynamics of perovskite, directly determining the film morphology and optical properties. Herein, we demonstrate the buried interface engineering to regulate the crystallization kinetics of quasi‐2D perovskite film by inserting a poly(vinyl pyrrolidone) (PVP) modification layer between the hole transport layer and perovskite film. The strategy enhances the surface wettability of the hole transport layer, facilitating the uniform coverage of perovskite. Meanwhile, the carboxyl groups in PVP can interact with undercoordinated Pb ions in perovskite to increase the crystallization sites, thereby effectively passivating defects, regulating phase distribution, and suppressing the formation of low‐dimensional phases. Ultimately, a green PeLED treated with PVP modification layer has achieved a high external quantum efficiency of 24.2%, representing an 87% enhancement. Our results highlight the potential of interface engineering based on functional group interactions as an innovation strategy, enabling significant advances in PeLED efficiency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 teacher head, 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".