Controlled Synthesis of ZnO Nanostructures by Electrodeposition without Any Pretreatment and Additive Regent
Bibliographic record
Abstract
ZnO nanostructures have been fabricated using electrodeposition method without any additive reagent and nucleation-layer. The influences of the applied voltage, temperature, electrolyte concentration, and time on the nanostructures of ZnO have been investigated using cyclic voltammety (CV), X-ray diffraction (XRD) and Scanning Electron Microscopy (SEM). The result shows that the 1-dimensional (1D) nanostructures tend to be formed at lower voltage and electrolyte concentration, while 2-dimentional (2D) nanostructures can be easily obtained at higher voltage and concentration. Although increasing temperature is helpful to grow 1D nanostructures, but excessive high temperature will destroy the ZnO nanostructures because of the high solubility of ZnO. Furthermore, we reveal the mechanism of the formation of ZnO nanostructures mainly depends on the competition between the hydroxylation and dehydration reaction. Our work is helpful for developing the photocatalytic and photodetection applications using different ZnO nanostructures.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".