Stability of kinetic parameters of <scp>Co<sub>3</sub>O<sub>4</sub></scp>/<scp>CeO<sub>2</sub></scp> catalyzed methane combustion
Bibliographic record
Abstract
Abstract The work assesses the effect of hydrothermal ageing on the kinetic parameters of lean methane combustion catalyzed by cobalt oxide supported on ceria. The reactions are performed at model conditions relevant to the exhaust of natural gas vehicles, that is, at temperatures between 200°C‐550°C with 0.05 mL/mL (5 vol%) and 0.10 mL/mL (10 vol%) of water in the feed, as well as in the dry feed. The addition of 0.05 mL/mL (5 vol%) of water results in a double decrease of the rate constant, which is not affected by further water increase to 0.10 mL/mL (10 vol%). The reactions in the dry and wet feeds show zero order to water and first order to methane; the activation energy of 73 kJ/mol is the same for all conditions for the supported and unsupported cobalt oxide catalysts. After 100 hours on stream, the supported catalyst shows the same methane conversion as the fresh catalyst.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".