New Perylene Diimide Dyes and Inks for Large Area Roll-Coated Organic Solar Cells
Bibliographic record
Abstract
Polycyclic aromatic molecules, especially perylene diimide based dyes, are widely used as electronic materials in photovoltaic devices.1 Our team at the University of Calgary has been actively developing modified perylene diimides for use in a range of solution processed electronic devices including organic solar cells,2 organic light emitting diodes,3 transistors and sensors,4 electrochromic films,5 and photo/electro cathodes.6 This presentation will detail the design and synthesis of several classes of modified perylene diimides for specific use in large area organic solar cell devices and modules, primarily as cathode interlayers in both conventional and inverted type cells, but also as non-fullerene acceptors. Structure-property relationships, the formation of functional large area films via slot-die coating using green solvents, and utility both small area devices and flexible modules will be discussed. Applications as indoor light recycling devices and integration into operational greenhouses will be presented. 1 Journal of Materials Chemistry A, 2021, 9 6775-6789 2 Journal of Materials Chemistry C, 2020, 8, 13430-13438 3 Journal of Materials Chemistry C, 2020, 9, 2314-2319 4 Journal of Materials Chemistry C, 2021, 9, 13630-13634 5 Journal of Materials Chemistry C, 2024, 12, 1710-1717 6 Chemical Science, 2022, 13, 1049-1059
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".