Natural Sunlight‐Driven CO<sub>2</sub> Hydrogenation into Light Olefins at Ambient Pressure over Bifunctional Cu‐Promoted CoFe Alloy Catalyst
Bibliographic record
Abstract
Abstract The natural sunlight‐driven conversion of CO 2 into valuable C 2+ products is urgently being pursued at ambient pressure, yet it poses a substantial challenge. Herein, a bifunctional Cu‐promoted CoFe alloy catalyst is designed for the natural light‐driven CO 2 hydrogenation into light olefins. Under a weak solar‐irradiation intensity of 0.45 kW m −2 (0.45 sun), the optimal catalyst exhibits excellent activity and selectivity, with an impressive 73.7% selectivity for C 2+ hydrocarbons and an outstanding 56.5% selectivity for C 2‐4 olefins, which is the best catalyst for C 2+ hydrocarbons photosynthesis from natural sunlight to date. The bifunctional design of the catalyst combines the advantages of both metallic Cu and CoFe alloy components, providing a synergistic effect that enhances the CO 2 hydrogenation performance. The Cu promoter plays a crucial role in enhancing the adsorption of CO 2 and hydrogen spillover, while the CoFe alloy provides a stable coupling site of the C 1 intermediate for promoting the C 2‐4 olefins. This study provides new insights into the design of bifunctional catalysts for CO 2 hydrogenation and opens up new possibilities for sustainable production of light olefins from renewable resources.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".