Preparation and Characterization of Ni-Mn/ZrO 2 -CeO 2 Catalysts for Hydrogen Production via Methane Decomposition
Bibliographic record
Abstract
Catalysts with different Ni contents supported on improved ZrO2-CeO2 mixed oxides and doped with manganese as a promoter of activity were evaluated on the catalytic methane decomposition (CMD) at 500 °C for hydrogen and carbon nanostructures production. The supports were synthesized by surfactant-assisted coprecipitation, and Ni and Mn deposition was performed by conventional impregnation. The surface areas for 15N1MZC and 45N1MZC solids prepared with surfactant were 13 and 28 m2/g respectively and it was observed that by incorporating 1% of Mn to the active phase the methane conversion increases. The temperature programmed reduction results indicated that the addition of Mn allows the formation of different NiOx species, increasing the reduction degree to Ni0. The transmission electron microscopy analysis show the formation of different species of carbon as nanotubes, whiskers and onions, as well as an important number of encapsulated Ni particles.
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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 | 0.000 |
| 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) | 0.000 | 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".