Electrochemical Transformation of Copper Sulfide Electrodes for Selective CO<sub>2</sub>‐to‐Formate Conversion
Bibliographic record
Abstract
Precise control over the dynamic transformations that electrocatalysts undergo under operating conditions offers a powerful strategy for tailoring catalytic selectivity. Herein, the electrochemical modification of Cu 2− x S‐derived catalysts to generate selective active sites for the electroreduction of CO 2 to formate is investigated. Through a combination of in situ and ex situ characterization techniques, it is demonstrated that electrochemical cycling induces sulfur leaching, resulting in the formation of reduced, amorphous copper structures that exhibit enhanced selectivity toward formate production. Compared to the pristine material, the electrochemically modified catalyst achieves a twofold improvement in Faradaic efficiency, reaching values as high as 75% for CO 2 ‐to‐formate conversion. These findings not only establish a cost‐effective and scalable platform for catalyst fabrication and activation, but also open new avenues for advancing sustainable CO 2 conversion technologies toward industrial implementation.
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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".