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.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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".