Fabrication of ZnO Nanospikes and Nanopillars on ITO Glass by Templateless Seed-Layer-Free Electrodeposition and Their Field-Emission Properties
Bibliographic record
Abstract
A simple and direct electrodeposition technique is employed to fabricate ZnO nanospikes and nanopillars on indium-tin oxide glass substrates at 70 degrees C without using any template, catalyst, or seed layer. Both ZnO nanospikes and nanopillars exhibit highly crystalline ZnO wurtzite structure with a preferred (0001) plane orientation in their high-resolution transmission electron microscopic images and X-ray diffraction patterns. The corresponding Raman spectra provide evidence for the presence of defects and oxygen vacancies in these nanostructures, which could produce the photoluminescence observed in the visible region. X-ray photoelectron spectroscopy further indicates the presence of a Zn(OH)2-rich surface region in these ZnO nanostructures and that a higher Zn(OH)2 surface moiety is found for nanospikes than nanopillars. In contrast to the nanopillars with flat tops, the nanospikes with tapered tips of 20-50 nm diameter provide a favorable geometry to facilitate excellent field-emission performance, with a low turn-on electric field of 3.2 V/microm for 1.0 microA/cm(2) and a threshold field of 6.6 V/microm for 1.0 mA/cm(2). The superior field-emission property makes the nanospikes among the best ZnO field emitters fabricated on a glass substrate at low temperature.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 source (direct Gemma or distilled Codex), 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".