Catalytic CO Oxidation over Au Nanoparticles Supported on Yttria-Stabilized Zirconia
Bibliographic record
Abstract
Gold nanoparticles supported on yttria-stabilized zirconia (YSZ) were synthesized using a modified alcohol method which involves the stabilizing agent, polyvinylpyrrolidone (PVP). Two different average sizes (13.1 and 17.1 nm) of Au nanoparticles were synthesized. These catalysts were tested for gas phase CO oxidation. Since PVP is known to block the active Au sites, the catalysts were calcined at 300°C and 600°C in order to remove the PVP. Overall, higher catalytic activity was found for the smaller Au nanoparticles. It was also found that calcination is required in order to achieve activity, even though the particle size increases with this treatment. The effect of calcination temperature did not prove to be significant. It is demonstrated that O2- ionically conductive YSZ is a promising catalyst support that can finely disperse and stabilize Au nanoparticles for CO oxidation.
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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) | 0.004 | 0.002 |
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".