CO<sub>2</sub> Reforming of CH<sub>4</sub> over Xerogel Ni−Ti and Ni−Ti−Al Catalysts
Bibliographic record
Abstract
CO 2 reforming of CH 4 reaction was studied over the Ni based xerogel catalysts. The Ni−Ti and Ni−Ti−Al xerogel composites were prepared using the sol−gel method and reduced in H 2 −N 2 mixture gas. The reaction was conducted at 973 K in a micropacked-bed reactor. Brunauer−Emmett−Teller (BET), X-ray diffraction (XRD), and thermogravimetric/differential thermal analysis (TG/DTA) were used to characterize the fresh and spent (after reaction) catalyst samples. Compared with the published data, it has been found that the carbon deposition on both Ni−Ti and Ni−Ti−Al xerogel catalysts is effectively suppressed. Ni−Ti−Al xerogel catalyst reveals higher activity and longer stability than Ni−Ti xerogel catalyst does, due to its larger surface area and more resistance to Ti reduction. However, further study is anticipated to eliminate the carbon deposition on these xerogel catalysts.
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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) | 0.002 | 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".