Development and characterization of novel combinations of Ce‐Ni‐MFI solids for water gas shift reaction
Bibliographic record
Abstract
Abstract In this work, novel catalysts with different low percentages of nickel and cerium (0–3 % g/g) inside a crystalline silica framework were prepared to be tested in catalytic water gas shift reaction (WGSR) at low temperatures. The developed preparation method is distinctive as it does not require the impregnation of metals, drying, and further calcinations steps, and produces the anticipated catalysts in an efficient way. The produced solids were characterized using various characterization methods including XRD, TPR‐TPO, TPD, SEM/EDX, and N 2 physisorption. Results indicated that these solids benefit from good reproducibility and ease of mass production. WGSR experiments over the produced solids at 503 K showed that Ce‐MFI solids were inactive at this temperature; however, Ni‐MFI and Ce‐Ni‐MFI solids catalyzed the reaction. At this low temperature, the catalysts containing cerium presented higher activity compared to catalysts with only nickel content. Furthermore, no methane production was observed using these catalysts.
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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 | 0.001 | 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 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".