Simulating transient pore-scale behaviour of platinum degradation in PEM fuel cells using pore network modeling
Bibliographic record
Abstract
Limiting the degradation of platinum catalysts in the cathode catalyst layer (CCL) of polymer electrolyte membrane fuel cells remains a critical challenge for commercialization. In this work, a novel transient pore-scale model of platinum degradation was developed using pore network modeling. A two-dimensional artificial image of the CCL was generated to serve as the geometric basis. The modeling technique involved coupling a performance solver that simulated the oxygen reduction reaction with a degradation solver that accounted for platinum dissolution and oxidation reactions. The results reproduce degradation trends such as spatial variations in surface area loss and transient changes in platinum oxide coverage and platinum ion concentration. Crucially, the model has the ability to uncover new microstructural insights, including how constrictions between agglomerates can lead to localized degradation and how longer transport paths correlate with reduced platinum loss. The developed model provides a foundation for optimizing and designing the CCL pore structure to mitigate degradation and enhance fuel cell durability. • A transient 2D pore network model of platinum degradation is developed. • Model provides a pore-scale view of degradation and captures spatial heterogeneities. • Structural features are shown to influence platinum degradation.
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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".