Highly Selective Electroreduction of CO<sub>2</sub> to CO over Zinc Nanostructures
Bibliographic record
Abstract
To mitigate CO2 emissions and enable the conversion of CO2 to carbon-neutral fuels, the research on electrochemical reduction of CO2 (CO2RR) is gaining momentum and so is the search for an earth-abundant electrocatalysts to achieve high catalytic activity and desirable selectivity for the target fuel. Herein, we synthesized hexagonal Zn nanoplates (H-Zn-NPs) and systematically explored its shape-dependent catalytic activity for CO2RR, so as to achieve a better understanding of the relationship between the morphology and the catalytic activity of non-noble metal catalysts. The prepared H-Zn-NPs are found to efficiently promote CO2RR toward CO production with improved catalytic activity, good stability and remarkably high CO selectivity of over 85% in a broad potential range. Theoretical results reveal that the unique hexagonal Zn nanostructure offers an increased number of catalytically active sites which are active for CO2RR to CO. The H-Zn-NPs undoubtedly hold a great potential as an alternative to noble metal for highly selective CO2RR to CO.
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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".