Tuning Cu/Cu<sub>2</sub>O Interfaces for the Reduction of Carbon Dioxide to Methanol in Aqueous Solutions
Bibliographic record
Abstract
Abstract Artificial photosynthesis can be used to store solar energy and reduce CO 2 into fuels to potentially alleviate global warming and the energy crisis. Compared to the generation of gaseous products, it remains a great challenge to tune the product distribution of artificial photosynthesis to liquid fuels, such as CH 3 OH, which are suitable for storage and transport. Herein, we describe the introduction of metallic Cu nanoparticles (NPs) on Cu 2 O films to change the product distribution from gaseous products on bare Cu 2 O to predominantly CH 3 OH by CO 2 reduction in aqueous solutions. The specifically designed Cu/Cu 2 O interfaces balance the binding strengths of H* and CO* intermediates, which play critical roles in CH 3 OH production. With a TiO 2 model photoanode to construct a photoelectrochemical cell, a Cu/Cu 2 O dark cathode exhibited a Faradaic efficiency of up to 53.6 % for CH 3 OH production. This work demonstrates the feasibility and mechanism of interface engineering to enhance the CH 3 OH production from CO 2 reduction in aqueous electrolytes.
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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".