Efficient CuInS<sub>2</sub>/ZnS Quantum Dots Light‐Emitting Diodes in Deep Red Region Using PEIE Modified ZnO Electron Transport Layer
Bibliographic record
Abstract
In this study, the enhanced device performance of CuInS2/ZnS quantum dots‐based light‐emitting didoes (QLEDs) for photomedical applications using polyethylenimine ethoxylated (PEIE)‐modified ZnO as electron transport layer has been reported. The device enhancement is investigated by applying time‐resolved photoluminescence and transient electroluminescence spectra. The results show that the modification of PEIE on ZnO layer limits the electron injection into quantum dots layer and reduces the accumulation of electrons at ZnO/QD interface. This provides an effective way to suppress the charging processes of quantum dots and thus enhance the device efficiency. As a result, the synergistic effect of PEIE modifying layer leads to a record current efficiency of 2.75 cd A−1 for the CuInS2/ZnS‐based QLEDs with deep red emission at 650 nm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".