Investigating the Role of TiO2 and MgTiO3 Supports in ZnO-Catalyzed Photocatalytic CO2 Reduction
Bibliographic record
Abstract
It is widely known that ZnO's photocatalytic activity on CO 2 reduction with water is enhanced when it is supported.We investigated how the support affected the photocatalytic reduction of CO 2 using ZnO supported by TiO 2 and MgTiO 3 catalysts.As a function of both the loading concentration and the support's specific surface area, the ZnO showed a variety of crystalline phases on the supports.Increased catalytic activity led to greater dispersion of ZnO particles and an increase in specific surface area.The rates of production for H 2 and CO, the main byproducts of CO 2 reduction, exhibited distinct crystalline phase dependence.Specifically, H2 production was mostly dependent on α-ZnO, but the rate of CO production grew with an increasing γ-ZnO/α-ZnO ratio and reached its maximum at a certain γ-ZnO/α-ZnO ratio.The two primary findings are as follows: (1) the photocatalytic activity is greatly improved when ZnO particles are loaded as rods on the support in quantities of a few tens of nanometers, and (2) a new mechanism is discovered whereby the reduction of CO 2 adsorbed on γ-ZnO or the interface between the two phases is dominated by water splitting on α-ZnO.
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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".