Mesoporous Nickel−Yttria−Zirconia Fuel Cell Materials
Bibliographic record
Abstract
A novel synthesis method for mesoporous nickel−yttria−zirconia (meso-Ni−YZ) has been developed using a surfactant-templated co-assembly strategy, involving yttrium(III)−zirconium(IV) glycometalate and nickel(II) precursors. Nickel loading has been investigated over the range 0−45 Ni at. % and found to control the average pore size of the oxidized meso-NiO 1+ x −YZ and reduced meso-Ni−YZ products. Under the synthesis conditions utilized, the cationic surfactant glycometalate co-assembly is proposed to involve nickel in the form of Ni 4 (OH) 4 4+, which subsequently transforms to a co-assembly containing nanoscale Ni(OH) 2 . Upon thermal posttreatment in air, the nickel hydroxide species is converted to the nanocrystalline p-type nickel oxide, NiO 1+ x, located in the pores of meso-NiO 1+ x −YZ. The channel walls of meso-NiO 1+ x −YZ are composed of nanocrystalline yttria−zirconia, and the gas adsorption isotherm appears as type I. Thermal reduction of the NiO 1+ x component of the mesostructure in hydrogen creates nickel nanocrystals. A concomitant dramatic increase in average pore diameter is observed with concurrent evolution of an adsorption isotherm of type IV. This behavior is attributed to a structural transformation of meso-NiO 1+ x −YZ to meso-Ni−YZ involving a reduction in NiO 1+ x nanocrystal size on conversion to Ni with accompanying migration and aggregation of Ni nanocrystals. The outcome of these combined effects widens the pores within meso-Ni−YZ relative to meso-NiO 1+ x −YZ. Preliminary ac impedance spectroscopy of meso-Ni−YZ at a loading of less than 40 at. % Ni depicts an electrical response dominated by oxygen ion conductive nanocrystalline YZ channel walls of the meso-Ni−YZ mesostructure. By contrast, higher nickel loaded meso-Ni−YZ samples give a metallic response most likely due to a better connectivity of Ni nanocrystals within the mesostructure.
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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) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".