Exploring Slot-Die Coating for Large Area Fullerene-Free Organic Photovoltaics
Bibliographic record
Abstract
Organic photovoltaics stands as one of the most promising clean energy technologies. However, its commercial availability is a challenge that has not yet been overcome. To improve the cost effectiveness of the organic solar cell active layer, our group has recently developed a series of N-annulated perylene diimide (PDI) derivatives acting as electron acceptors, one of these is today commercially available. [1] These resulting fullerene-free photovoltaic devices present a high power conversion efficiency, making them a viable alternative to the more traditional fullerene-containing solar cells. [2,3] Considering that these molecules can be mass-produced, they are excellent candidates for the coating of large area solar cells. Herein, we present the structure-property relationship of these materials, along with their utility as electron acceptors in bulk heterojunction organic photovoltaic. We also discuss the preliminary upscaling results of our efforts towards coating large-scale organic solar cells.
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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".