Behavior Study of Annealing Temperature on Microstructure and Wettability of Electrodeposited ZnO Thin Films for Microcapacitor Application
Bibliographic record
Abstract
In this work, electrodeposition was used to produce thin zinc oxide layers on n-type silicon substrates. It has been investigated how annealing at 400∘C affects the deposit's morphological and structural characteristics. SEM, X-ray diffraction, and contact angle measurements have all been used to study the morphology and structure of nonannealed and annealed ZnO. Three intense peaks were visible in the XRD patterns of non-annealed ZnO thin films along the (100), (002) and (101) planes, however these peaks' intensities were different in the XRD patterns of annealed ZnO layers. Furthermore, the 2θ diffraction angle shift can be seen in the XRD patterns of annealed and unannealed ZnO layers. The contact angle measurements showed that the nonannealed ZnO layers are hydrophobic; however, at a temperature of 400∘C for annealing, the ZnO layer surface becomes hydrophilic. Finally, SEM data validate the XRD and contact angle findings by showing how ZnO structure changes from a sand rose shape to a granular structure. Additionally, the ZnO/n− Si micro-capacitor device has been developed and impedance spectroscopy (EIS) has been used to evaluate it. Finally, a microcapacitor made of ZnO and n−Si showed a high specific capacitance of 128mF/g.
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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) | 0.001 | 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".