Molecular Interlayer with Large Cations Supports Efficient, Stable Perovskite Solar Cells
Bibliographic record
Abstract
Low-dimensional (quasi-2D) perovskite interlayers can improve the power conversion efficiency and stability of perovskite solar cells (PSCs). These improvements are primarily due to the passivation of the defective perovskite surface. In this work, we designed molecular interlayers with triphenylamine-based bulky ammonium cations that are ionically bonded to the 3D perovskite surface. We found that the best-performing PSCs exhibited higher efficiency (19.44%) than those with the n -octylammonium-formed quasi-2D perovskite interlayer (18.92%). Characterization of structure, cross-sectional morphology, and charge transport demonstrated that the improved PSC performance is due to the suppressed formation of resistive quasi-2D perovskites on the 3D perovskite surface, and improved interfacial contact between the molecular interlayer and the hole transport layer derived from the same molecular building block. These results offer a more effective strategy to show how the performance of PSCs can be improved by enhancing the perovskite|HTL interfacial contact instead of passivating defective perovskites.
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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) | 0.001 | 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 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".