Quantitative electroreduction of CO2 to CO using Re-oxide doped Ag aerogels with surface-supported ionic liquids
Bibliographic record
Abstract
Silver still faces significant challenges in the electrochemical reduction of CO 2 (eCO 2 RR) to CO under elevated current density with high energy input due to the intensified hydrogen evolution reaction. The doping of 2 mol% Re-oxide into Ag aerogel results in a significant decrease in the onset potential and a two-fold increase in the current density compared to a pure Ag aerogel (Ag 100 ), which tackles the issue. The effect is rationalized in terms of positively shifting the d -band center close to the Fermi energy level to change the density of local electronic states. Moreover, upon the adsorption of the ionic liquid (IL, 1-Allyl-3-methylimidazolium dicyanamide [AMIM][DCN]) onto the surface of Re-oxide doped Ag aerogel (Ag 98 Re 2 /IL), the current density increases to 320 mA/cm 2 at a low of −1.3 V vs. RHE with 96 % selectivity for CO formation in an alkaline medium using a flow cell electrolyzer, and maintains the selectivity above 92 % for up to 17 h using an H-cell electrolyzer. Density Functional Theory revealed that the adsorbed IL forms a highly conductive and hydrophobic layer on the aerogel surface, presumably decreasing the local H + concentration, greatly suppressing the hydrogen evolution reaction while enhancing the eCO 2 RR pathway and mitigating the mass transport issues typically associated with IL use. This work addressed the key challenges in massively producing CO from eCO 2 RR, offering a promising strategy for scalable and industrial CO generation.
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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 | 0.001 |
| 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".