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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".