PAF‐6 Doped with Phosphoric Acid through Alkaline Nitrogen Atoms Boosting High‐Temperature Proton‐Exchange Membranes for High Performance of Fuel Cells
Bibliographic record
Abstract
Abstract High‐temperature proton‐exchange‐membrane fuel cells (HT‐PEMFCs) can offer improved energy efficiency and tolerance to fuel/air impurities. The high expense of the high‐temperature proton‐exchange membranes (HT‐PEMs) and their low durability at high temperature still impede their further practical applications. In this work, a phosphoric acid (PA)‐doped porous aromatic framework (PAF‐6‐PA) is incorporated into poly[2,2′‐(p‐oxydiphenylene)‐5,5′‐benzimidazole] (OPBI) to fabricate novel PAF‐6‐PA/OPBI composite HT‐PEMs through solution‐casting. The alkaline nitrogen structure in PAF‐6 can be protonated with PA to provide proton hopping sites, and its porous structure can enhance the PA retention in the membranes, thus creating fast pathways for proton transfer. The hydrogen bond interaction between the rigid PAF‐6 and OPBI can also enhance the mechanical properties and chemical stability of the composite membranes. Consequently, PAF‐6‐PA/OPBI exhibits an optimal proton conductivity of 0.089 S cm −1 at 200 °C, and peak power density of 437.7 mW cm −2 (Pt: 0.3 mg cm −2 ), which is significantly higher than that of the OPBI. The PAF‐6‐PA/OPBI provides a novel strategy for the practical application of PBI‐based HT‐PEMs.
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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 | 0.001 | 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".