Manipulating Au−CeO<sub>2</sub> Interfacial Structure Toward Ultrahigh Mass Activity and Selectivity for CO<sub>2</sub> Reduction
Bibliographic record
Abstract
Abstract Deploying the application of Au‐based catalysts directly on CO 2 reduction reactions (CO 2 RR) relies on the simultaneous improvement of mass activity (usually lower than 10 mA mg −1 Au at −0.6 V) and selectivity. To achieve this target, we herein manipulate the interface of small‐size Au (3.5 nm) and CeO 2 nanoparticles through adjusting the surface charge of Au and CeO 2 . The well‐regulated interfacial structure not only guarantees the utmost utilization of Au, but also enhances the CO 2 adsorption. Consequently, the mass activity (CO) of the optimal AuCeO 2 /C catalyst reaches 139 mA mg −1 Au with 97 % CO faradaic efficiency (FE CO ) at −0.6 V. Moreover, the strong interaction between Au and CeO 2 endows the catalyst with excellent long‐term stability. This work affords a charge‐guided approach to construct the interfacial structure for CO 2 RR and beyond.
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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) | 0.001 | 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 | 0.001 |
| 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".