FA<sub>4</sub>Pb<sub>2</sub>I<sub>7.5</sub>(SCN)<sub>0.5</sub>: <i>n</i> = 3 Member of Perovskite Homologous Series FA<sub><i>n</i>+1</sub>Pb<sub><i>n</i>−1</sub>I<sub>3<i>n</i>−1.5</sub>(SCN)<sub>0.5</sub> with Columnar Defects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Hybrid organic–inorganic halide perovskites are an emerging class of optoelectronic materials. Among them, there are many homologous series of Ruddlesden–Popper and Dion–Jacobson layered perovskites reported, but a homologous series based on defect ordering has not yet been discovered. Here, by using thiocyanate anion as a defect generator, we successfully synthesized a new defect-ordered perovskite FA 4 Pb 2 I 7.5 (SCN) 0.5 together with the previously reported FA 6 Pb 4 I 13.5 (SCN) 0.5 . These compounds can be represented respectively as n = 3 and n = 5 members of the perovskite homologous series FA n +1 Pb n −1 I 3 n −1.5 (SCN) 0.5 with ordered columnar defects, which is the first homologous series of defect-ordered hybrid perovskites. The optical band gap increases with an increase in the ordered defects in the lattice. FA 4 Pb 2 I 7.5 (SCN) 0.5 ( n = 3) exhibits photoluminescence emission, which is a feature of layered perovskites with a quantum-well structure. This study provides a new strategy to control the defect orderings for tuning their optical properties by incorporating thiocyanate.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.010 | 0.011 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 0.005 |
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 it