A Fully Coupled Multiphysics Model for a H[sub 2]S SOFC
Bibliographic record
Abstract
Experimental results from solid oxide fuel cells (SOFCs) exhibit characteristics, e.g., an unusual dependence of cell performance on fuel composition and flow rate, which are poorly explained in current literature. In this paper, we demonstrate the importance of multiphysics modeling in understanding these results. We present a fully coupled two-dimensional multiphysics model that accounts for all transport processes and the chemical/electrochemical reactions in a working SOFC including dissociation kinetics in the fuel channels and heat transfer in the entire fuel cell assembly. A key aspect of the model developed in this work is the ability to model the coupled transport and reaction processes with thermodynamically consistent rate equations for the chemistry and electrochemistry. Simulation results from this comprehensive multiphysics model suggest that for the anode material used in our experiments, the electrochemically active species is and not . The model developed here allows the simulation of an SOFC with an anode that can electro-oxidize more than one fuel species, and we present results for the mixed open-circuit voltage from such a simulation.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".