Improving Photovoltaic Performance of Pb‐Less Halide Perovskite Solar Cells by Incorporating Bulky Phenylethylammonium Cations
Bibliographic record
Abstract
Alloyed tin–lead (Sn–Pb) perovskite solar cells (PSCs) exhibit a broader photoresponse up to 1050 nm; however, their efficiency is inferior to that of Pb analogs. Trap‐assisted recombination associated with Sn vacancies formed through Sn2+ oxidation is a major detrimental factor, limiting their efficiency. By incorporating bulkier phenylethylammonium (PEA) cations into Sn–Pb alloyed perovskites, the nonradiative recombination by lowering the number of defects associated with Sn vacancies is reduced. Herein, the effects of PEA cations in different Sn–Pb halide perovskite compositions with a series of characterizations, such as photoluminescence, X‐ray photoelectron spectroscopy, and surface potential measurements, are investigated. As a result of the reduction of traps in PEA‐containing perovskites, a significant improvement of 40% and 15% in photovoltaic performance is observed for Sn‐rich and Pb‐rich Sn–Pb halide perovskites, respectively.
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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".