Modeling of Ultrathin Two-Phase Catalyst Layers in PEFCs
Bibliographic record
Abstract
We present a model of transport and reaction kinetics in ultrathin cathode catalyst layers for polymer electrolyte fuel cells (PEFCs). In contrast to conventional catalyst layers, ultrathin catalyst layers neither contain a separate electronic conductor, other than the catalyst itself, nor are they impregnated with perfluorinated sulfonic acid ionomer as an intrinsic proton conductor. They can thus be regarded as two-phase composites. The model utilizes Poisson-Nernst-Planck theory for proton transport in the layer. It relates calculated spatial distributions of oxygen and proton concentrations, electrode potential, and electrochemical reaction rates to catalyst utilization and current-voltage performance. By comparison with experimental data from literature for current-voltage relations at low and intermediate current densities the transfer coefficient of the cathodic reaction was estimated. Catalyst layer thickness, composition, and volume fraction of water-filled pore were systematically varied to determine the values that maximize Pt utilization and voltage efficiency of the layer. The significance of these results for the optimization of catalyst layers in view of operation conditions and synthesis methods is discussed.
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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 | 0.001 | 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".