YSZ Phase Purity and Stability in Chemically Prepared SOFC Anodes
Bibliographic record
Abstract
Phase pure, dual phase NiO-YSZ and CuO-YSZ have been synthesized by the co-precipitation method. Sample systems involving the synthesis of these materials at various pH levels, and at varying Ni, Cu and yttria content have been described. The nickel system shows a relatively simple precipitation pathway in which Ni2+ precipitates out of solution as Ni(OH)2. In contrast, Cu2+ precipitates as Cu2(OH)3Cl, followed by a conversion to CuO with increasing pH. Phase separation of monoclinic zirconia can be avoided by an appropriate choice of metal to base concentration ratios during precipitation or by the addition of additional yttria. The effect of the different preparations on conductivity suggests a small effect on short term performance. Large increases in conductivity and lower temperatures required during methane adsorption for Cu-YSZ make copper an attractive alternative to nickel for SOFC applications once optimal precipitation conditions have been established.
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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 | 0.001 |
| 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".