Vapor‐Phase Deposition of Highly Luminescent Embedded Perovskite Nanocrystals
Bibliographic record
Abstract
Abstract Vapor‐phase deposition (VPD), a process that can be readily scaled up for mass production, provides a cost‐effective approach to manufacture perovskite light‐emitting diodes (LEDs). The progress in device efficiency, however, has been stagnant, owing largely to the poor photoluminescence quantum yields (PLQYs) of the VPD materials. Herein, a holistic fabrication strategy is reported that can stabilize the otherwise thermodynamically unstable cubic‐phase through the deposition of a CsBr‐rich termination on top of the CsPbBr3 films. The enhanced film reduces the electronic defects considerably resulting in near‐unity PLQY of the VPD‐based perovskites. To understand the mechanism of the improved VPD‐CsPbBr3 perovskite, advanced optical probing techniques and structural characterizations are used. For device application, the LEDs made from the VPD perovskites yield a bright luminance of ≈15 000 cd m−2 at 523 nm with a sharp full width at half maximum (FWHM) of 18 nm.
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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".