Deep‐Blue Perovskite Single‐Mode Lasing through Efficient Vapor‐Assisted Chlorination
Bibliographic record
Abstract
Abstract Metal halide perovskites have emerged as promising candidates for solution‐processed laser gain materials, with impressive performance in the green and red spectral regions. Despite exciting progress, deep‐blue—an important wavelength for laser applications—remains underexplored; indeed, cavity integration and single‐mode lasing from large‐bandgap perovskites have yet to be achieved. Here, a vapor‐assisted chlorination strategy that enables synthesis of low‐dimensional CsPbCl 3 thin films exhibiting deep‐blue emission is reported. Using this approach, high‐quality perovskite thin films having a low surface roughness (RMS ≈ 1.3 nm) and efficient charge transfer properties are achieved. These enable us to document low‐threshold amplified spontaneous emission. Levering the high quality of the gain medium, vertical‐cavity surface‐emitting lasers with a low lasing threshold of 6.5 µJ cm −2 are fabricated. This report of deep‐blue perovskite single‐mode lasing showcases the prospect of increasing the range of deep‐blue laser sources.
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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".