A catalytic sites contiguity study on atomically‐dispersed <scp>ZnO</scp>‐Cu/<scp>SiO<sub>2</sub></scp> catalysts to improve methanol formation from <scp>CO<sub>2</sub></scp> hydrogenation
Bibliographic record
Abstract
Abstract Cu‐ZnO‐based catalysts are commonly used in research on catalytic carbon dioxide (CO 2 ) hydrogenation for methanol (MeOH) synthesis. This work studied the catalytic sites contiguity, for example, the surface orientation or arrangement of the CO 2 and H 2 activating sites and their capability to facilitate the interaction between the adsorbed species, and its effects on the catalytic performance of MeOH formation. Cu/SiO 2 precursor was prepared by impregnating copper nitrate solution on a commercial SiO 2 gel. Controlling the exposure time and cycle numbers in atomic layer deposition (ALD), atomic‐level dispersion of ZnO (ADZn) was formed on the uncalcined and calcined Cu/SiO 2 precursors as well as on the SiO 2 gel. Characterizations allowed for identification of Cu + –Cu 0 and ADZn 2+ –Cu + /Cu 0 sites contiguity on the reduced catalyst surface. Catalytic performance tests showed that the ALD ZnO‐Cu/SiO 2 ‐C catalyst facilitated the MeOH space–time yield to 33.1 g/(kg catal ∙ h) at 240°C, three times the yield of its Cu‐only counterpart. The property–performance correlation indicated that two types of ZnO–Cu sites contiguity were responsible for MeOH and CO formation from CO 2 hydrogenation with the ADZn 2+ –Cu + /Cu 0 favouring more MeOH formation. The various contiguity of ADZn 2+ –Cu + /Cu 0 sites also influence the MeOH formation from CO 2 hydrogenation.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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; a candidate call from one teacher head, 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".