Engineering Dual Active Sites at the Interface between Nanoporous Pt and Nanosized CeO<sub>2</sub> to Enhance Photo‐Thermocatalytic CO Oxidation
Bibliographic record
Abstract
Abstract Effective catalytic oxidation of toxic emissions at low temperatures has great significance on environmental protection. Herein, a novel structure of Pt/CeO 2 catalyst, composed of abundant CeO 2 clusters captured by nanoporous Pt particles, is designed to enhance the photo‐thermocatalytic CO oxidation by boosting the amount of active sites. The nanosized CeO 2 support is fabricated by vacuum thermal decomposition and then the Pt/CeO 2 catalyst with a nanoporous structure is synthesized by a one‐pot solution reduction method in a mild condition. The synthesized catalyst exhibits great low‐temperature CO catalytic oxidation activity, and the temperature for 90% CO conversion is 154 °C, achieving comparable catalytic activity with the single‐atom Pt/CeO 2 catalyst. Abundant dual active sites, in terms of active oxygen absorbed on the oxygen vacancies and spillover from ceria to Pt, and active Pt sites located near the perimeter of the Pt–CeO 2 interface, are formed to improve the photo‐thermocatalytic activity for CO oxidation.
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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".