Sunlight-driven CO<sub>2</sub> utilization over two-dimensional Co-based nanosheets
Bibliographic record
Abstract
Abstract Reverse water gas shift (RWGS) reaction is an intriguing strategy to realize carbon neutrality, however, the endothermic process usually needs high temperature that supplied by non-renewable fossil fuels, resulting in secondary energy and environmental issues. Photothermal catalysis are ideal substitutes for the conventional thermal catalysis, providing that high reaction efficiency is achievable. Two-dimensional (2D) materials are highly active as RWGS catalysts, however, their industrial application is restricted by the preparation cost. In this study, a series of 2D Co-based catalysts for photothermal RWGS reaction with tunable selectivity were prepared by self-assembly method based on cheap amylum, by integrating the 2D catalysts with our homemade photothermal device, sunlight driven efficient RWGS reaction was realized. The prepared 2D Co0.5Ce0.5O x exhibited a full selectivity toward CO (100%) and could be heated to 318 °C under 1 kW m−2 irradiation with the CO generation rate of 14.48 mmol g−1 h−1, pointing out a cheap and universal method to prepare 2D materials, and zero consumption CO generation from photothermal RWGS reaction.
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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".