Carbon Deposition on Vanadium-Based Anode Catalyst for SOFC Using Syngas as Fuel
Bibliographic record
Abstract
Carbon deposition from synthesis gas (syngas) fueling solid oxide fuel cells led to decreased performance with time on stream. Although higher temperatures improved the fuel cell performance, the trade-off was a faster carbon deposition. Auger electron spectroscopy and X-ray photoelectron spectroscopy data showed that the carbon deposition was more severe in CO than in syngas condition and the Boudouard reaction was the major cause for carbon deposition in syngas. The carbon distribution on the catalysts was also different. In CO, the carbon deposited mostly on edges of the catalyst, whereas in syngas, carbon deposited more evenly on the surface, suggesting different mechanisms taking effect. Cofeeding water vapor with the anode feed suppressed carbon deposition. However, the presence of water vapor reduced the fuel cell performance.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".