Iridium promoted Ni‐Co/Al<sub>2</sub>O<sub>3</sub>‐ZrO<sub>2</sub> catalyst for dry reforming of methane
Bibliographic record
Abstract
Abstract CO2 reforming of methane to produce synthesis gas was examined in a fixed bed reactor, using a combined nickel‐cobalt based catalyst supported on a mixed oxide (modified alumina with ZrO2) obtained by the sol‐gel method. The loading of nickel and cobalt was kept at 0.0500 g/g (1:1), while the amount of Ir varied between 0.0000 to 0.0100 g/g. The reforming reactions were performed at 700 °C. The time on stream profile for 360 min showed that all catalysts were very active and stable. The promoter doping of 0.0250 g/gCo‐0.0250 g/gNi‐X g/g Ir/(Al2O3‐ZrO2) catalysts augmented the activity regarding the CH4 and CO2 by 20 %. The catalysts were characterized by means of TGA, TPR, TPD, XRD, and SEM. The TGA and TPR results showed that the promoter depressed the carbon deposition and upgraded the reducibility of the active metals in that order. While the TPD analysis illustrated the basic sites of the catalyst are of medium strength.
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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) | 0.001 | 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 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".