Shaken Not Stirred: Perfluoropyridine-Polyalkylether Prepolymers
Bibliographic record
Abstract
The purpose of this work was to employ perfluoropolyalkylethers (PFPAEs) with perfluoropyridines (PFPs) to form telechelic oligomers for use in low-temperature materials. Since perfluoropyridines are very regioselective, various nucleophiles were utilized, starting with an arsenal of PFPAEs such as oligo(hexafluoropropylene oxide) methylene alcohol (Krytox Methylene alcohols), Mach I perfluoroether diol, and Fluorolink E10H. Each reaction was completely successful with PFP using bases such as sodium hydride or the preferred cesium carbonate. Various solvents could be utilized (tetrahydrofuran (THF) or acetonitrile), but dimethylformamide (DMF) was the favored option. Further exploration was accomplished with mechanochemical synthesis, and the majority of the reactions were shortened from their 48 to 72 h reactions to approximately 1 min in good to moderate yields. Finally, Fluorolink E10-H-based bis(perfluoropyridine)-PFPAE was then copolymerized with Bisphenol A, Bisphenol AF, 1,1,1-tris(4-hydroxyphenyl) ethane, and PEG 2000 forming novel materials, which were further characterized with thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS).
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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 | 0.000 | 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) | 0.002 | 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".