PEM Unit Cell Model Considering Additional Reactions
Bibliographic record
Abstract
A computational model is developed for a PEM unit cell capable of describing the reactions that occur in the cell in understoich conditions. Such conditions can occur as a result of reactant supply system failure (blockage, leaks, system control, etc.). The model applies to cells with straight channels, and mass transport in the MEA (membrane crossover as well as transport through the GDE) in the channel cross-plane is described only in an average sense assuming linear diffusive mechanisms. Several other major assumptions are made, the most significant being that the cell is always at saturated conditions and is taken to be isothermal. Several electrochemical and mass transport coefficients are not available in the literature and “best guesses” are taken. The results of the model are not yet validated experimentally. However, it is the first model proposed that captures these phenomena in a comprehensive way at the local level and also couples the phenomena through channel flow. Cathode understoich results show the expected Hydrogen evolution at the cathode. Anode understoich results show anode Carbon oxidation. An interesting third run is shown where at low currents, a partial anode understoich condition occurs where the cell voltage remains positive, but the anode is starved of Hydrogen near outlet. Carbon corrosion at the cathode occurs in this case.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".