Highly Fluorinated Aromatic−Aliphatic Copolyethers
Bibliographic record
Abstract
A series of novel highly fluorinated aromatic−aliphatic copolyethers have been prepared by copolycondensation reactions of decafluorodiphenylsulfone (DFPSO) with hexafluorobisphenol-A (6F-BPA) and a highly fluorinated linear or branched diol (6C F -diol or 7 b C F -diol) at different feed ratios of [diol]/[6F-BPA]. The reactions can be completed in 2−5 h in the presence of CsF in DMAc at room temperature to produce polymers with number average molecular weight ( M n ) up to 45 000 Da. 1 H and 19 F NMR studies show that the composition of the resultant polymers agrees well with the feed ratio of the monomers in the reaction. This feature leads to a feasible tune of glass transition temperatures ( T g ) and refractive indexes of the produced polymers by a simple control of the feed ratio. As the [diol]/[6F-BPA] ratio increases, the T g of the copolymers decreases gradually from 185 to 87 °C and 94 °C, and the refractive index decreases from 1.5120( n TE )/1.5089( n TM ) to 1.4643( n TE )/1.4629( n TM ) and 1.4487( n TE )/1.4471( n TM ) for the copolymers from 6C F -diol and 7 b C F -diol, respectively. Meanwhile, the increase of the [diol]/[6F-BPA] ratio also effectively reduces the birefringence of the polymer films from 3.1 × 10 -3 to 1.4 × 10 -3 for the polymers from 6C F -diol and to 1.6 × 10 -3 for the polymers from 7 b C F -diol. Well-developed waveguide structures with smooth ridge walls from these polymers have also been demonstrated using a cost-effective soft lithography technique.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".