A Comprehensive Single-Phase, Non-Isothermal Mathematical MEA Model and Analysis of Non-Isothermal Effects
Bibliographic record
Abstract
A comprehensive single-phase non-isothermal MEA model, accounting for all applicable heat sources, viz. , entropic and irreversible heating associated with electrochemical reactions, ohmic heating, phase change, and heat release/absorption due to sorption/desorption of water in electrolyte is presented. The model accounts for water management in two phases, vapour and sorbed phase, and temperature driven vapour diffusion, and thermal osmosis. It is integrated into openFCST, an open-source fuel cell simulation framework. Maximum temperatures inside the cell rise by up to 12°C. A detailed breakdown of various heat sources inside the cell is studied. The heat of sorption, ignored in the literature, is more significant than protonic ohmic heating at medium currents and causes a shift in temperature distribution in the in-plane direction. Reversible heat distribution based on Ref. [1] resulted in temperature shifts with anode catalyst layer being the hottest.
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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 | 0.000 | 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 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".