Enhancing the Structural and Optical Properties of Poly (Vinyl Alcohol) Films Through the Incorporation of Ag2O: ZnO Nanoparticle
Bibliographic record
Abstract
In this work, the casting method was utilized to prepare thin poly(vinyl alcohol) films with silver oxide (Ag2O) and zinc oxide (ZnO) nanoparticles with different percentage weights (1%, 2%, and 3%) were produced in this study.Were created Physical attributes such as X-ray diffraction (XRD) do not include structural features.The XRD measurements showed both the hexagonal crystalline structure of ZnO, the simple cubic structure of Ag2O and the amorphous structure of PVA film.UV-visible spectroscopy was used to examine the effects of ZnONPS and Ag2ONPS on PVA's optical characteristics, including absorption, transmission spectrum, absorption coefficient, extinction coefficient, and energy gap.The experimental results of the optical properties of PVA: Ag2O-ZnO nanocomposites showed that the absorption, absorption coefficient, refractive index, of dielectric constant and optical conductivity of PVA mixture increased with increasing concentrations of Ag2O and ZnONPs, while the transmittance and energy gap decrease with increasing concentration of Ag2O and ZnONPs.This work demonstrates how an increase in Ag2O and ZnONPs affects each of these variables.
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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".