Improved solvent systems for commercially viable perovskite photovoltaic modules
Bibliographic record
Abstract
Commercializing perovskite photovoltaics requires overcoming three critical barriers: the use of toxic solvents in manufacturing, variations in perovskite film quality across large areas, and limited operational reliability. Here, we address these challenges by developing a green solvent-based (γ-valerolactone/2-methyl tetrahydrofuran/dimethylsulfoxide) ink and a solvent-confinement edge-protection strategy, demonstrating large-scale manufacturing of defect-minimized perovskite films under ambient-air conditions. These approaches enabled the production of 7200-square-centimeter perovskite photovoltaic modules that achieved a total-area steady-state efficiency of 17.2% (certified by the National Renewable Energy Laboratory) and that passed all IEC 61215 reliability standards (certified by TÜV Rheinland). This work demonstrates an environmentally responsible path toward commercial manufacturing of perovskite photovoltaics.
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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".