Dual Heterojunction Graphene-Supported Photocatalysts of Copper Oxide Nanowires and Copper Ferrite Nanoparticles for Photoelectrochemical Water Splitting
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Bibliographic record
Abstract
Photoelectrochemical hydrogen evolution (HER), a half reaction of water splitting, is crucial to the low-cost, environmentally friendly production of clean H 2 fuel as part of the solution for transitioning away from a fossil fuel economy. Electrodeposition of a controllable Cu film on graphene followed by thermal annealing at 200–400 °C has been used to produce copper oxide (Cu x O, x = 1, 2) nanowires. The relative compositions of CuO and Cu 2 O layers in the Cu x O-Cu/graphene system form a heterojunction structure enabling high efficiency for electron–hole separation and a fast charge transfer rate, where the CuO layer with a proper thickness enhances light absorption, improves the charge separation, and serves as a protective layer for Cu 2 O photocorrosion while graphene serves as a flexible, highly conductive substrate. A high-performance dual Z-scheme heterojunction photocatalyst to greatly improve charge carrier separation, increase carrier density, and reduce electron–hole recombination is obtained by decorating this Cu x O-Cu/graphene system with an efficient cocatalyst based on Cu-based ternary CuFe 2 O 4 nanoparticles, obtained by a solvothermal method. The addition of CuFe 2 O 4 nanoparticles on the best optimized Cu x O-Cu/graphene is found to nearly double the photocurrent from −2.64 mA·cm –2 to −4.91 mA·cm –2, making this dual heterojunction catalyst among the best copper-based catalyst systems for HER reported to date.
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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 | 0.000 | 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 it