Environmental Catalysis for NO<sub><i>x</i></sub> Reduction by Manipulating the Dynamic Coordination Environment of Active Sites
Bibliographic record
Abstract
Nowadays, it is challenging to achieve SO 2 -tolerant environmental catalysis for NO x reduction because of the thermodynamically favorable transformation of reactive sites to inactive sulfate species in the presence of SO 2 . Herein, we achieve enhanced low-temperature SO 2 -tolerant NO x reduction by manipulating the dynamic coordination environment of active sites. Engineered by coordination chemistry, SiO 2 -CeO 2 composite oxides with a short-range ordered Ce–O–Si structure were elaborately constructed on a TiO 2 support. A dynamic coordination environment of active sites is demonstrated from a Ce–O–Si local structure to a low-coordinated Ce-SO 4 2– species in the presence of SO 2 . The low-coordinated Ce-SO 4 2– species as new active sites maintain a high NO removal efficiency by preserving the good adsorption and activation capacity of NO and NH 3 reactants. This work proposes a new notion to improve the SO 2 resistance of catalysts by regulating the coordination environment of sulfated active sites, which is of significance for SO 2 -tolerant environmental catalysis in practical applications.
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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".