Influence of Ionomer Structures and Ratios on Performance and Degradation of PEM Fuel Cells
Bibliographic record
Abstract
In recent years, short side chain (SSC) ionomers with lower equivalent weights have been demonstrated to increase cell performance via more-homogenous coating and higher proton conductivity than the conventional ionomer, Nafion, used in the catalyst layer (CL). In spite of some studies on cell performance, the impact of an ionomer's structure and ratio on cell durability has hardly been reported. In this study, a systematic experimental investigation is performed to study the impact of SSC ionomer structures and ratios on fuel cell durability using a scaled up cell (45 cm2). A CL fabricated with an SSC ionomer is shown to perform better and be more durable than a CL prepared by Nafion in the same ratio. Moreover, increasing the ionomer ratio in the catalyst layer leads to lower cell performance at high current densities, but higher cell durability. These results highlight the importance of the structure and ratio of the ionomers in cell performance and durability.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".