Wafer-Level Artificial Photosynthesis for CO<sub>2</sub> Reduction into CH<sub>4</sub> and CO Using GaN Nanowires
Why this work is in the frame
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Bibliographic record
Abstract
We report on the first demonstration of high-conversion-rate photochemical reduction of carbon dioxide (CO 2 ) on gallium nitride (GaN) nanowire arrays into methane (CH 4 ) and carbon monoxide (CO). It was observed that the reduction of CO 2 to CO dominates on as-grown GaN nanowires under ultraviolet light irradiation. However, the production of CH 4 is significantly increased by using the Rh/Cr 2 O 3 core/shell cocatalyst, with an average rate of ∼3.5 μmol g cat –1 h –1 in 24 h. In this process, the rate of CO 2 to CO conversion is suppressed by nearly an order of magnitude. The rate of photoreduction of CO 2 to CH 4 can be further enhanced and can reach ∼14.8 μmol g cat –1 h –1 by promoting Pt nanoparticles on the lateral m -plane surfaces of GaN nanowires, which is nearly an order of magnitude higher than that measured on as-grown GaN nanowire arrays. This work establishes the potential use of metal-nitride nanowire arrays as a highly efficient photocatalyst for the direct photoreduction of CO 2 into chemical fuels. It also reveals the potential of engineered core/shell cocatalysts in improving the selectivity toward more valuable fuels.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 it