Synthesis of Copoly(aryl ether ether nitrile)s Containing Sulfonic Acid Groups for PEM Application
Bibliographic record
Abstract
Wholly aromatic poly(aryl ether ether nitrile)s containing sulfonic acid groups (SPAEEN)s, intended for fuel cells applications as proton conducting membrane materials, were first prepared via nucleophilic substitution polycondensation reactions. SPAEEN copolymers were synthesized by potassium carbonate-mediated nucleophilic polycondensation reactions of commercially available monomers: 2,6-difluorobenzonitrile (2,6-DFBN), potassium 2,5-dihydroxybenzenesulfonate (sulfonated hydroquinone SHQ), and a third monomer 4,4‘-biphenol or hydroquinone in N -methyl- 2 -pyrrolidone (NMP) at 160 °C. The sulfonic acid group content (SC), expressed as a number per repeat unit of polymer, ranged from 0.5 to 1.0 and was obtained by changing the feed ratio of SHQ to the unsulfonated bisphenol. Membrane films in potassium salt and acid forms were obtained by casting N,N -dimethylacetamide (DMAc) solution of SPAEEN copolymers, followed by immersing in 2 N sulfuric acid at room temperature. FT-IR confirmed the structure of polymer in both salt and acid forms. NMR was used to determine the obtained SC values of the SPAEEN series. Glass transition temperatures ( T g s) of SPAEEN copolymers (potassium form) determined by differential scanning calorimetry (DSC) ranged from 308 to 371 °C. Decomposition temperatures ( T d s) of SPAEEN were around 300 °C for acid form and over 400 °C for potassium form. Water uptake and swelling ratio values increased with SC and temperature. All SPAEENH copolymers were mechanically stronger than Nafion117 and exhibited a reasonable flexibility. The proton conductivities of acid form membrane at different SC values were close to or higher than that of Nafion117 and reached 10 -1 S/cm. The best compromise on PEM mechanical strength, water swelling, and proton conductivity was achieved at SC ranging from 0.5 to 0.7.
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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".