Impedance Model of Oxygen Reduction in Water-Flooded Pores of Ionomer-Free PEFC Catalyst Layers
Bibliographic record
Abstract
We present an impedance model of oxygen reduction in water-flooded pores of ionomer-free, ultrathin catalyst layers in polymer electrolyte fuel cells. This work expands on the continuum, single pore approach of a previously developed steady state model ( JES 158, B18, 2011), which postulated that protons are transported into water-flooded pores through their electrostatic interaction with the metal surface charge density. We derive approximate analytical expressions for the impedance response in various limiting cases. In contrast to the response of electrolyte-filled pores, the resistive and capacitive elements of the water-flooded pores are highly dependent on the surface charge density of the metal, which is determined by the applied bias potential and the potential of zero charge of the metal. We discuss the capabilities of the model to determine the kinetic, electrostatic, and transport contributions to the overall Faradaic current density, and to extract metal|solution interfacial parameters of electrocatalytic materials in ionomer-free catalyst layers from impedance data.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".