Understanding Performance Losses at Ni-Based Anodes Due to Sulphur Exposure
Bibliographic record
Abstract
While Ni-YSZ (yttria-stabilized zirconia) cermets have excellent properties for use as solid oxide fuel cell (SOFC) anodes, they are susceptible to performance loss in the presence of sulfur (S) in the fuel stream. In this work, we have electrochemically determined the extent of poisoning and recovery of Ni-YSZ electrolyte-supported half-cells in 5 ppm H2S (in H2) between 600 and 850°C, comparing these results with S adsorption/removal data obtained using TGA. It is shown by both approaches that the coverage of Ni by adsorbed S species (Sads) increases as the temperature decreases, as expected. However, the extent of Sads coverage, determined from performance loss, is significantly less than predicted from the mass gain during S adsorption. Furthermore, anodes exposed to H2S at 600°C show an unusual irreversible S poisoning effect when polarized at 250 mV, not seen in TGA experiments.
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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 | 0.001 | 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) | 0.005 | 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; both teacher heads agree on what is shown here.
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".