Hollow Porous Ag Spherical Catalysts for Highly Efficient and Selective Electrocatalytic Reduction of CO<sub>2</sub> to CO
Bibliographic record
Abstract
Electrochemical reduction of CO2 is recognized as a promising way to alleviate the environmental and energy crisis. However, its low efficiency and poor stability restrict the practical application of most conventional electrocatalysts. In this work, a hollow porous silver catalyst is presented for the selective electrocatalytic reduction of carbon dioxide to carbon monoxide. Porous hollow Ag microspheres are synthesized by a very simple and fast method using a spherical Cu2O template. The hollow porous Ag electrocatalysts are capable of electrochemically reducing CO2 to CO with up to 94% Faradaic efficiency as well as excellent stability. The catalytic activity of hollow porous Ag microspheres is about 10 times higher than that of solid Ag for electrochemically reducing CO2 to CO. The high performance of Ag catalysts is attributed to the unique hollow porous structure which provides high electrochemical surface area and intrinsically higher activity in comparison with solid Ag.
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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".