Leveraging Bromine-Induced Large Stokes Shift in Pyrrolidinium Perovskite Nanoparticles for Improved Organic Photovoltaic Performance
Bibliographic record
Abstract
Using the reverse micelle synthesis route, polystyrene-b-2vinylpyridine (PS-b-P2VP) diblock copolymers are used to synthesize hybrid perovskite nanoparticles with an ionic organic liquid five-membered heterocycle cation, pyrrolidinium (Py) (C 4 H 8 NH). Uniform, well-dispersed, and luminescent nanoparticles were fabricated with high stability due to the hydrophobic nature of Py and polymer encapsulation. The substitution of bromine for iodine induces a bathochromic shift, resulting in a substantial Stokes shift of 764 meV (211 nm) for mixed halide phase nanoparticles, contrary to the anticipated hypsochromic shift with bromine doping. This unique attribute of Py-based perovskites positions them as promising candidates for down-conversion applications in low-band-gap organic solar cells. Incorporating Py-based perovskite nanoparticles into bulk heterojunction organic photovoltaics (OPVs) as down-conversion layers selectively enhances the short-circuit current from UV components in the illumination source. The observed improvements in stability, uniformity, and luminescence, coupled with the distinct Stokes shift, underscore the potential of Py-based perovskite nanoparticles as a valuable component in improving the efficiency of OPVs.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".