Synergy between Fe and Promoter Ions Supported on Nanoceria Influences NO<sub><i>x</i></sub> Reduction Catalysis
Bibliographic record
Abstract
Fe and Fe–O dispersed on nanoscale CeO supports are considered promising catalysts for oxidation and reduction catalysis and regarded as one of the better alternatives to precious metal catalysts for NO reduction. To understand the role of Fe ions, promoters, and factors that control the NOx reduction, we probed the local environments of Fe, Ce, and O using a range of spectroscopies. The order of Na promotion (sequential vs simultaneous) resulted in a significant difference in the catalytic activity by changing the local electronic structure around the Fe ions in reaction the conditions. The Ce M4,5- and O K-edge X-ray spectroscopy results suggest stabilization of the 4f, eg orbitals, where Fe and promotor ions are affecting the t2g orbitals. Optimizing this bonding environment around the Fe active species with a promoter ion enables tuning of the NO reduction activity.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.005 |
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".