Preparation of highly dispersed CuO-ZnO-ZrO<sub>2</sub> catalysts and their improved catalytic performance for hydrogenation of CO<sub>2</sub>
Bibliographic record
Abstract
Highly dispersed CuO-ZnO-ZrO 2 (CZZ) catalysts were prepared by the citrate gel method. The structures of catalysts and precursors were characterized by XPS, BET, XRD, H 2 -TPR, H 2 -TPD, CO 2 -TPD, and TG-DTA. The effects of wet gel drying time and citric acid dosage on the catalyst structure were studied and compared with the catalysts prepared by the combustion method to investigate the performance of different catalysts for CO 2 hydrogenation to methanol. Studies have shown that prolonging the drying time of wet gel can effectively prevent the splashing of the catalyst during calcination. The BET surface area of the catalyst dried at 120 °C for 48 h is 44.8 m 2 /g, which is higher than that of the combustion method. When the amount of citric acid is equal to the stoichiometric ratio, the catalyst has the best performance. Under the conditions of 240 °C, 2.6 MPa, space velocity of 3600 h –1 , and H 2 /CO 2 volume ratio of 3, the space–time yield of methanol reaches 110.3 g/(kg h). Excessive citric acid will affect the dispersion of catalyst components and result in decomposition residue covering catalyst surface active sites, which is not conducive to CO 2 hydrogenation reaction.
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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 | 0.000 | 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) | 0.000 | 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".