Synthesis of Chiral Nematic Mesoporous Metal and Metal Oxide Nanocomposites and their Use as Heterogeneous Catalysts
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Bibliographic record
Abstract
We report the synthesis of chiral nematic mesoporous metal and metal oxide nanocomposites containing zinc or copper prepared through a vacuum‐assisted loading of the metal precursor into a chiral nematic mesoporous silica template followed by high‐temperature treatment. Significant metal loading into the template was achieved after a single loading cycle (up to 55 % of the pore volume) as confirmed by nitrogen sorption measurements. Growth of the metal nanoparticles was contained within the porous silica template, and subsequent removal of the template afforded free‐standing chiral nematic metal oxide films with surface areas up to 200 m 2 /g. To demonstrate the utility of these high surface area materials, we used the prepared CuO material as a heterogeneous catalyst for click reactions. Our prepared CuO showed excellent activity (95 % conversion after seven hours) when compared to commercially available CuO nanoparticles (20 % conversion after 24 hours) owing to its considerably higher surface area. Moreover, the prepared CuO material maintained high activity (>70 % conversion) after four cycles.
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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