<scp> MnO <sub>x</sub> </scp> / <scp> CeO <sub>2</sub> </scp> catalysts for the low‐temperature selective catalytic reduction of <scp>NO</scp> with <scp> NH <sub>3</sub> </scp>
Bibliographic record
Abstract
Abstract CeO 2 –nanorod support was synthesized by hydrothermal method and different manganese oxides (MnO, MnO 2, and Mn 2 O 3 ) were impregnated over support by the wet‐impregnation forming MnO/CeO 2 ‐NR, MnO 2 /CeO 2 ‐NRm and Mn 2 O 3 /CeO 2 ‐NR. The physico‐chemical properties of the as‐prepared catalysts were analyzed using x‐ray diffraction (XRD), Brunauer–Emmett–Teller (BET) surface area, x‐ray photoelectron spectroscopy (XPS), transmission electron microscopy (TEM), scanning electron microscope–energy‐dispersive x‐ray spectroscopy (SEM–EDX), hydrogen‐temperature‐programmed reduction (H 2 ‐TPR), and Raman spectroscopy. These catalysts were further analyzed for NO reduction using NH 3 as a reducing gas in the temperature range of 50 to 450°C. The results confirmed that MnO 2 /CeO 2 ‐NR gave the maximum NO conversion (65%) and N 2 selectivity (89%) among all catalysts. Further, MnO 2 /CeO 2 ‐NR catalyst was studied for the effect of MnO 2 loading and more than 90% NO conversion and N 2 selectivity were obtained in the temperature range of 250 to 300°C.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".