Macromolecular reinforcement of alkaline ion-solvating polymer electrolytes
Bibliographic record
Abstract
Alkaline ion-solvating polymer electrolyte membranes derived from poly(isatin biphenyl) and polybenzimidazole (m-PBI) blends with different ratios were prepared, characterized, and evaluated as electrode separators in alkaline water electrolysis. The physicochemical properties could be tuned by varying the composition of the blend, and the membrane with a poly(isatin biphenyl) content of 25% showed a suitable balance between conductivity and mechanical robustness. The polarization behavior was comparable to that of state-of-the-art separators, with significantly lower H2 crossover. No signs of degradation could be observed after 70 h of electrolysis testing in 30% aqueous KOH at 80 °C, supporting that macromolecular reinforcement is a promising way forward in the development of high-performing and durable alkaline ion-solvating membranes for water electrolysis.
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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 | 0.000 |
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 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".