The modification of Ag/Al<sub>2</sub>O<sub>3</sub> catalyst and application of combined catalysts in methanol‐SCR of NO
Bibliographic record
Abstract
In this paper, a series of Wx/Ag/Al2O3 catalysts with different tungsten contents (0, 0.04, 0.06, 0.08, and 0.10 g/g) and 0.03 g/g silver for selective catalytic reduction of NO with methanol under excess oxygen (methanol‐SCR), were prepared with a traditional impregnation method. At a gas hourly space velocity (GHSV) of 30 000 h−1, the operating window of NO conversion (NO conversion above 50 %) shifted to a higher temperature region as the tungsten content increased. Importantly, the operating window of NO conversion over combined catalysts containing W8/Ag/Al2O3 in the front and Ag/Al2O3 in the rear (W8/Ag/Al2O3 + Ag/Al2O3), was wider (65 °C) than that of the single W8/Ag/Al2O3 catalyst (50 °C) or Ag/Al2O3 catalyst (41 °C). Further, the CO concentration over the combined catalyst was lower than the single W8/Ag/Al2O3 catalyst. The characterization results demonstrated that there are strong interactions between tungsten and silver which contribute to the formation and stabilization of oxidized silver species.
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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) | 0.000 | 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 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".