Reverse Cell Bias for the Prevention of Ni Oxidation during Air Exposure
Bibliographic record
Abstract
The primary aim of this work was to prevent Ni oxidation by reverse biasing of the cell during air exposure at SOFC operating temperatures. As the area specific polarization resistance (Rp, inversely proportional to the H2 oxidation activity) of electrolyte-supported Ni-YSZ anodes normally decreases after a single redox cycle, the approach used here was to determine if reverse polarization during air exposure can prevent this performance enhancement. The use of a constant cathodic potential did not appear to prevent Ni oxidation, although it is likely that an insufficiently negative potential was applied. However, anode performance enhancement was prevented by the application of a constant applied current density during air exposure. However, these results are not fully conclusive, as the extent of Ni oxidation could not be determined analytically in situ. Notably, observations, such as an increase in the observed cathodic overpotential during negative biasing and the decrease in Rp after air exposure (with applied cathodic currents) still need to be understood.
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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) | 0.001 | 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".