Synthesis and Characterization of Multi Metal Oxide Nanocomposite (ZnO-SrO-MgO) and Its Applications
Bibliographic record
Abstract
Nanotechnology used widely due its smaller in size and massive application in all field of science.Metal oxide nanoparticles are a significant class of nanomaterials with numerous uses in both science and technology.A heterogeneous, versatile multi metal oxid ZnO-SrO-MgO has been prepared by chemical co-precipitation method.Synthesis can achieve selected surface structure, phase, shape and size of metal oxide nanoparticles, resulting in a set of desired attributes.The synthesized multi metal oxide nanoparticles were characterized by various instrumental techniques.The synthesized multi metal oxide materials beautifully present in nano meter level as 94 nm identified through SEM analysis.Absorption spectra from UV confirmed the multi metal oxide from its corresponding peaks.XRD peaks with plane obtained in the range it's confirmed the presence nanoparticles.Multi metal oxide exhibits good antifungal and antimicrobial activity
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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".