Study of fuel cell corrosion processes using dynamic hydrogen reference electrodes
Bibliographic record
Abstract
A known source of performance and material degradation in phosphoric acid fuel cells (PAFCs) is corrosion due to an inhomogeneous anode gas composition. Similar corrosion processes have been associated with degradation in proton exchange membrane fuel cell (PEMFC) systems during startup and shutdown procedures. Historically, PAFC fuel cells were studied during air and fuel starvation events via reversible hydrogen electrodes (RHEs) located around the perimeter of the MEA and embedded into customized flow field plates. This article presented the results of a study that demonstrated clear measurement of these corrosion phenomena, in an operating PEMFC, via DHREs situated in a non-catalyzed region interior to the active area of an operating cell. The reference electrodes are readily incorporated into any size stack, thus accelerating stress test and operating protocol development. It was revealed that clear differences exist between electrode potentials near the anode inlet and anode exhaust. It was concluded that DHREs are an effective tool for clearly elucidating the electrochemical phenomena occurring at the electrode level in PEMFCs due to a variety of fuel cell operational regimes. 10 refs., 1 tab., 5 figs.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".