Discovery of Perovskite Cosolvency and Undoped FAPbI<sub>3</sub> Single-Crystal Solar Cells Fabricated in Ambient Air
Bibliographic record
Abstract
We report the cosolvency effect of formamidinium lead triiodide (FAPbI 3 ) in a mixture of γ-butyrolactone (GBL) and 2-methoxyethanol (2ME), a phenomenon where FAPbI 3 shows higher solubility in the solvent blend than in either alone. We found that FAPbI 3 exhibits 10× higher solubility in 30% 2ME in GBL than in 2ME alone and 40% higher solubility than in GBL alone at 90 °C. This enhanced solubility is attributed to the disruption of the hydrogen bonding network within 2ME, allowing its hydroxyl and ether groups to interact more freely with the solute. Leveraging this phenomenon, we grew phase-stable α-FAPbI 3 thin single crystals under ambient air conditions with no doping. Compared to conventional cesium-doped FAPbI 3, the undoped FAPbI 3 single-crystal films exhibited lower defect densities and enhanced charge retention and transfer while also avoiding phase segregation linked to cesium incorporation. Solar cells fabricated with these ambient-air-grown single-crystal films achieved an efficiency of 21.56% (17.72% for cesium-doped FAPbI 3 ), retaining 90% of performance after six months of storage. These findings advance our understanding of perovskite solubility in solvent blends and offer an efficient pathway for producing stable, high-efficiency FAPbI 3 single-crystal solar cells through ambient air fabrication, overcoming the limitations of doping.
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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) | 0.000 | 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 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".