Direct Synthesis of Hierarchical FeCu‐ZSM‐5 Zeolite with Wide Temperature Window in Selective Catalytic Reduction of NO by NH<sub>3</sub>
Bibliographic record
Abstract
Abstract In this article, we report a one‐pot synthesis strategy to directly synthesize the hierarchical FeCu‐ZSM‐5 zeolite. Its physicochemical properties were studied by various characterization techniques and catalytic performance was tested in selective catalytic reduction (SCR) of NO with NH3 as reductant. The characterization results show that: compared with three reference zeolites Fe/ZSM‐5, Cu/ZSM‐5, and Fe/Cu/ZSM‐5 prepared through an incipient wetness impregnation method, the synthesized FeCu‐ZSM‐5 zeolite exhibits hierarchical micro‐mesoporous structures, more Fe3+ in zeolite framework, and larger isolated Cu2+ species. Therefore, when used as a catalyst in NH3‐SCR, the resulting hierarchical FeCu‐ZSM‐5 catalyst shows better catalytic performance (high NO conversion and N2 selectivity) in a wide temperature window and higher hydrothermal stability than the three reference catalysts. Our work provides a simple and facile route to prepare the promising NH3‐SCR catalyst for practical applications in controlling NOx emissions.
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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".