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 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".