Experimental and DFT Study of Electrochemical Promotion of Cu/ZnO Catalysts for the Reverse Water Gas Shift Reaction
Bibliographic record
Abstract
This study investigates the use of electrochemical promotion of catalysis (EPOC) to in situ control the catalytic rate of the reverse water gas shift (RWGS) reaction that recycles wasteful CO 2 into CO. Nanostructured Cu/ZnO catalysts with varying Cu loadings (5, 10, 20, 40, and 60 wt %) are synthesized for RWGS. Compared to unsupported Cu nanoparticles and bare ZnO support, Cu/ZnO catalysts exhibit improved performance due to metal–support interaction. 20 and 40 wt % Cu/ZnO catalysts show the highest open-circuit catalytic rates ( r 0 ) owing to larger specific surface areas ( S BET = 38 m 2 g –1 ). In EPOC experiments, the application of constant currents results in promoted reaction rates, with the highest enhancement ratio (ρ = 1.14) and apparent Faradaic efficiency (Λ = 3.16) observed for 10 wt % Cu/ZnO. Density functional theory (DFT) computations and physicochemical characterizations support the lattice oxygen provision mechanism, where oxygen migrates from ZnO to Cu during polarization. This results in partial oxidation of Cu to Cu 2 O and a subsequent increase in RWGS rate. A correlation between S BET and r 0 and a positive relationship between the electrochemical surface area (ECSA) and Λ values in EPOC are identified, indicating that electrochemically active sites are important for catalyst activation under polarization.
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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 | 0.000 |
| 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".