The Influence of Porous Support Morphology on the Electrochemical Performance of Solid Oxide Fuel Cells
Bibliographic record
Abstract
The impact of porous support morphology on the electrochemical performance of symmetrical cathode cells was investigated. Controlling YSZ particle size, pore former content and sintering temperature, the total volume fraction of open porosity was identically kept in the range of 50-55% for all the cells. The influence of size, connectivity and distribution of the pores as well as the configuration of YSZ particles on the ohmic and polarization resistance of the cathode were studied using ac impedance spectroscopy. It was found that a calcined YSZ-based structure had the most uniform morphology. Low temperature sintered cells with an as received YSZ-based structure, however, exhibited the lowest polarization resistance. The significance of using calcined YSZ-based structures in practical development of porous YSZ supports 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 | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 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".