One-step synthesis of perfluorinated polyphenylenes using modified Ullmann coupling conditions
Bibliographic record
Abstract
Fluorinated compounds have attracted attention in both the pharmaceutical industry and materials science due to the small size and strong electron-withdrawing property of the fluorine atom. In materials science, perfluorinated polyphenylenes play an important role as electron transport layers in organic electronics. While various strategies for the preparation of fluorinated arenes have been reported, the number of synthetic methods available for perfluorinated arenes remains limited, mainly due to the change in reactivity of reagents and substrates at the reaction site upon the introduction of additional fluorine atoms. Given the important applications of perfluorinated polyphenyl-based compounds, this article describes the one-step synthesis of the dendrimer perfluoro-3,3’5,5’-tetrakisphenyldiphenyl-1,1’, which to date no example of a targeted synthesis has been reported in literature, and the synthetic methodology for the direct preparation of linear perfluorinated para-sexiphenyl. Both strategies use starting materials that are either commercially available or can be easily accessed using standard literature methods.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".