Reduced Cu/Pt–HCa<sub>2</sub>Ta<sub>3</sub>O<sub>10</sub> Perovskite Nanosheets for Sunlight‐Driven Conversion of CO<sub>2</sub> into Valuable Fuels
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Bibliographic record
Abstract
Reduced perovskite HCa 2 Ta 3 O 10 nanosheets loaded with Pt and Cu are synthesized for sunlight‐driven conversion of CO 2 with water vapor into valuable fuels. Perovskite nanosheets are prepared by exfoliating layered perovskite CsCa 2 Ta 3 O 10 via tetra butyl ammonium ion exchange, followed by liquid ultrasonic exfoliation. The obtained nanosheets exhibits a high specific surface area (>200 m 2 g −1 ). The photocatalytic performance of the resulting reduced perovskite nanosheets is evaluated for CO 2 photoreduction under sunlight in the presence of saturated water vapor. The reduced nanosheets exhibit much higher photoactivity than the nonreduced ones. This can be ascribed to their unique structure. The hydrogen treatment in the presence of platinum induces a considerable amount of Ta +4 and oxygen vacancies, which apparently improves the visible light absorption of perovskite nanosheets. Moreover, the introduction of CuO nanoparticles significantly improves the electron–hole separation through the formation of a p–n junction. It also enhances the adsorption of CO 2 and stabilizes C1 intermediates which are favorable for CC coupling to form C2 products (e.g., ethanol). The formation rates of ethanol and methanol are 113 and 7.4 µmol g −1 h −1 , respectively, while only methanol is obtained at the rate of 125.9 µmol g −1 h −1 in the absence of CuO nanoparticles.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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