Anti-solvent treatment of all Inorganic Perovskite CsPbBr3 Quantum Dot-Based Inverted Light Emitting Diodes
Bibliographic record
Abstract
Owing to superb photophysical properties and utilization in quantum dot light-emitting diodes (QLEDs), perovskite-based cesium lead bromide (CsPbBr3) quantum dots have gained significant research attention. Solvent engineering can improve the QDs film and thus increase the efficiency of PeLED. The QDs film was post-treated with solvent to enhance surface morphology and photoluminance while simultaneously passivating surface structure and minimizing exciton quenching. Using IPA as a solvent treatment lowered the device turn-on voltage VT (1 cd m-2) from 2.6 V to 2.2 V. Moreover, Invert structure devices showed 2557 cd m-2luminance and 10.7 cd A-1current efficiency. These findings suggest that PeLED QDs-based devices can be used to design next-generation lighting and displays.
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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".