Highly Anion-Conducting Porous Polymer Electrolyte Membrane for Alkaline Fuel Cells
Bibliographic record
Abstract
A highly anion-conductive porous polymer electrolyte membrane based on polybenzimidazole (PBI) was developed for alkaline fuel cells. The pores are introduced by leaching out the pore-forming agent (dibutyl phthalate), after making the membrane, comprised of it. The porosity increase the attraction of electrolytic solutions (e.g., potassium hydroxide), which results in the enhancement of plasticized PBI's ionic conductivity. The morphology, physico-chemical properties, thermal stability, and the hydroxide conductivity of the KOH-doped porous PBI membranes were characterized, using different spectroscopic and microscopic analysis methods. It was observed that the hydroxide conductivity of 70 wt.% porous PBI was 6 times higher than that of commercial FAA anion exchange membrane. The excellent performance of KOH-doped PBI makes it a promising membrane material for alkaline fuel cells.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".