An Experimental Analysis to Assess Photo-Acoustic Techniques for Silver Nano-Particles; Considering Physical Properties
Bibliographic record
Abstract
Aim: To assess the photo-acoustic techniques for the calculation of size, distribution, shape and phase of silver nanoparticles. Methodology: The silver nanoparticles were synthesized by sodium borohydride (NaBH4) and silver nitrate (AgNO3). Nine samples were prepared with varying concentrations and the changes in their properties were studied. Results: The shape of the silver nanoparticles was found to be spherical in shape. The average size of the silver nanoparticles was calculated to be 4-27nm. The results suggested that the particle size was decreasing with increase in the concentration of the silver nanoparticles. The strongest peak was obtained at 392nm which corresponds to the concentration C1. The absorption peak was found to be shifting towards the longer waves with the decrease in concentration. The XRD analysis revealed that the silver nanoparticles corresponding to all concentrations possessed crystal cubic structure. Conclusion: The silver nanoparticles were being extensively used in various applications due to their unique physical properties.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".