<sup>17</sup>O Solid-State NMR Study on the Size Dependence of Oxygen Activation over Silver Catalysts
Bibliographic record
Abstract
The capabilities of silver catalysts with different particle sizes for oxygen activation were systematically studied by 17 O solid-state NMR. The observation of 17 O signal at around 0 ppm for silver catalysts indicates that silver activates 17 O 2 molecules and that subsequent formation of active 17 O species leads to the oxygen exchange with the mesoporous SiO 2 supports. The initial appearances of the 17 O signals at different temperatures for three silver catalysts show that oxygen activation strongly depends on the size of Ag particle. Their ability of activating oxygen molecules is in the order Ag-3/MCM-41 > Ag-5/SBA-15 > Ag-10/SBA-15. Ag-3/MCM-41 is able to activate oxygen molecules and facilitates the oxygen exchange with the support even at room temperature. Although the NMR signal of active 17 O species on silver catalysts is not observed directly, the approach described in this work can be used to indirectly determine the conditions on which the active oxygen species can be produced during catalytic oxidation reactions. The silver catalysts can also be used for 17 O enrichment of the oxide-based materials under mild conditions.
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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) | 0.002 | 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".