Phosphoric Acid Distribution Patterns in High Temperature PEM Fuel Cells
Bibliographic record
Abstract
Phosphoric acid plays a major role in the high temperature PEM fuel cell (HT-PEMFC). Phosphoric acid leaching out of the gas diffusion layer (GDL) into the flow field and the exhaust water, however, corrodes the auxiliaries of the stack and complicates water recycling. The distribution of phosphoric acid inside the catalyst layer determines the extent of the triple-phase boundary and thus directly influences the performance of the cell. In this study, phosphoric acid injection experiments and pore network modeling (PNM) were carried out to explain the dependency of phosphoric acid distribution inside HT-PEMFC gas diffusion electrodes (GDE) on different network parameters. PNM was validated for GDEs and used to predict the percolation. We found that the micro-porous layer (MPL) dominates the flow behavior and prevents phosphoric acid from leaching into the GDL. Furthermore, the presence of cracks inside the MPL strongly influences the saturation inside the catalyst layer (CL).
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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 | 0.000 | 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 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".