Stability and electrochemical performance of Ni/YSZ pattern anodes in H<sub>2</sub>/H<sub>2</sub>O atmosphere
Bibliographic record
Abstract
Abstract Thorough understanding of H2 electrochemical oxidation helps optimize SOFC anode design and improve its performance. However, controversies still exist regarding H2 electrochemical oxidation. Due to their well‐defined 2‐D structure, Ni/YSZ pattern anodes are ideally suited for reaction kinetic studies. In this study, a systematic study was performed to determine conditions for the stabilization of Ni/YSZ pattern anode performance. Moreover, a comprehensive and reliable dataset of H2 electrochemical oxidation was obtained under stable test conditions. We found that stabilization of Ni/YSZ pattern anode performance relies on temperature and Ni thickness. Polarization resistance (Rp) depends on temperature, overpotential, H2 partial pressure, and TPB length, and it increases with decreasing any of these parameters. Rp also depends on H2O content. When the pH2O is between 3000 Pa (3 % of the total gases) and 30 000–40 000 Pa (30–40 % of the total gases), Rp decreases with increasing H2O content. However, Rp is less affected with further increasing H2O content. Charge transfer reactions coupled with H2O‐related processes contribute to the rate‐limiting steps for H2 electro‐oxidation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".