Volatile Solid‐Assisted Molecular Assembly Enables Eco‐Friendly Processed Organic Photovoltaic Cells with High Efficiency and Photostability
Bibliographic record
Abstract
Abstract Achieving environmentally friendly solvent‐processed high‐performance organic photovoltaic cells (OPVs) is a crucial step toward their commercialization. Currently, OPVs with competitive efficiencies rely heavily on harmful halogenated solvent additives. Herein, the green and low‐cost 9‐fluorenone (9‐FL) is employed as a solid additive. By using the o ‐xylene/9‐FL solvent system, the PM6:BTP‐eC9‐based devices deliver power‐conversion efficiencies of 18.6% and 17.9% via spin‐coating and blade‐coating respectively, outperforming all PM6:Y‐series binary devices with green solvents. It is found that the addition of 9‐FL can regulate the molecular assembly of both PM6 and BTP‐eC9 in film‐formation (molecule‐level mixing) and post‐annealing (thermal‐assisted molecular reorganization with additive volatilization) stages, so as to optimize the blend morphology. As a result, the charge transport ability of donor and acceptor phases are simultaneously enhanced, and the trap‐assisted recombination is reduced, which contributes to the higher short‐circuit current density and fill factor. Moreover, the generation of photo‐induced traps is significantly suppressed, resulting in improved stability under illumination. It is further demonstrated the excellent universality of 9‐FL in various photoactive systems, making it a promising strategy to advance the development of eco‐friendly OPVs.
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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".