Boron subphthalocyanine polymers: Avoiding the small molecule side product and exploring their use in organic light‐emitting diodes
Bibliographic record
Abstract
ABSTRACT In this study, we set out the steps to efficiently synthesize boron subphthalocyanine (BsubPc)‐containing polymers while circumventing the formation of a known side product. The synthesis was achieved using the post‐polymerization coupling reaction of a carboxylic acid functional prepolymer with bromo‐BsubPc. We have earlier shown that when copolymerizing styrene and acrylic acid (AA) a significant amount of an undesired side product is formed. In this study, we have determined that this side product persisted when styrene was copolymerized with AA or n‐ butyl acrylate but could be avoided when styrene was copolymerized with methacrylic acid (MAA), methyl methacrylate, or acrylonitrile. Therefore, MAA/styrene copolymer, synthesized by nitroxide‐mediated polymerization was chosen to be coupled to BsubPc. The resulting BsubPc polymer was found to have similar electrochemical properties, solution state absorption and photoluminescence characteristics when compared against a small molecule model compound although the solid‐state PL emission of the polymer was found to be excitation wavelength dependent. Finally, preliminary organic light‐emitting diodes (OLEDs) were fabricated to assess the potential role(s) of the BsubPc polymer in organic electronic devices. These OLEDs represent the first‐solution processed organic electronic devices containing BsubPc polymers as a functional material. © 2015 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2015 , 53 , 1996–2006
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".