Control and Characterization of Organic Solar Cell Morphology Through Variable-Pressure Solvent Vapor Annealing
Bibliographic record
Abstract
Solvent vapor annealing (SVA) of organic photovoltaics (OPVs) has become an important postdeposition treatment, but current OPV SVA methods are difficult to reproduce and neither tunable nor scalable. Herein, it is shown that a variable-pressure solvent vapor annealing (VP-SVA) system can be used to reproducibly and tunably anneal OPV active layers to produce highly controlled film morphologies. We show that VP-SVA is useful not only for the well-studied P3HT:PC61BM model system, but also for modern OPV active layers based on nonfullerene acceptors. Phase separation and material crystallinity are precisely tuned by controlling the solvent vapor concentration used during the annealing process, as evidenced by photoinduced force microscopy (PiFM) and grazing incidence wide-angle X-ray scattering (GIWAXS). The results show that overannealing occurs at saturated solvent vapor pressures, highlighting the importance of the VP-SVA technique.
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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".