Preparation and Characterization of Bat-like ZnO Micro-and Nanorods by Adjusting Oxygen Flux
Bibliographic record
Abstract
High-density bat-like ZnO micro-and nanorods were prepared on Si(111)substrates by a thermal evaporation method using Zn powders and zinc acetate dihydrate(ZA)as the source materials. X-ray diffraction,field emission scanning electron microscope,transmission electron microscope,Raman scattering and photoluminescence were used to characterize the structural and optical properties of the obtained samples.The results indicate that the individual rod has four knots with different diameters, the rods are a high-quality single crystal with a few defects.The growth mechanism of the structures proposed reveals that oxygen partial pressures play an important role in the growth process.The shape of ZnO nanostructures can be controlled by adjusting oxygen flux.
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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".