Overturned Loading of Inert CeO<sub>2</sub>to Active Co<sub>3</sub>O<sub>4</sub>for Unusually Improved Catalytic Activity in Fenton‐Like Reactions
Bibliographic record
Abstract
Abstract In the past decades, numerous efforts have been devoted to improving the catalytic activity of nanocomposites by either exposing more active sites or regulating the interaction between the support and nanoparticles while keeping the structure of the active sites unchanged. Here, we report the fabrication of a Co 3 O 4 −CeO 2 nanocomposite via overturning the loading direction, i.e., loading an inert CeO 2 support onto active Co 3 O 4 nanoparticles. The resultant catalyst exhibits unexpectedly higher activity and stability in peroxymonosulfate‐based Fenton‐like reactions than its analog prepared by the traditional impregnation method. Abundant oxygen vacancies (O v with a Co⋅⋅⋅O v ⋅⋅⋅Ce structure instead of Co⋅⋅⋅O v ) are generated as new active sites to facilitate the cleavage of the peroxide bond to produce SO 4 .− and accelerate the rate‐limiting step, i.e., the desorption of SO 4 .− , affording improved activity. This strategy is a new direction for boosting the catalytic activity of nanocomposite catalysts in various scenarios, including environmental remediation and energy applications.
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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".