Z-Scan Study of the Non-linear Optical Properties of Silver/Curcumin Dye Nanocomposites Prepared Via Nanosecond Pulsed Laser Ablation
Bibliographic record
Abstract
The fabrication related to single-layer Ag/curcumin (Curc) dye nanocomposites on a substrate is described in this paper, along with an examination of optical characteristics that follow, which could be applied to non-linear optics.With the use of a nanosecond pulsed laser method, AgNPs were produced.Using a straightforward solution technique, hybrid Ag/Curc dye nanocomposites have been created with varying concentrations regarding the Curc dye.The impact of concentration on the (non-linear and linear) structural and optical properties was then examined.The following techniques have been examined: FT-IR analysis, FE-SEM microscope, XRD, fluorescence spectroscopy, and UV-Vis spectra.Non linear refractive index as well as non linear absorption coefficients of samples have been utilized in order to explore the non-linear optical (NLO) properties related to the Curc dye nanocomposites and hybrid AgNPs using Zscan method.A nano-second pulsed Neodymium-YAG laser operating at 532 nm has been employed in the Z-scan approach.The findings demonstrate that the size of AgNPs affects their nonlinearity absorption coefficients and non-linearity refractive index.The enhancement of visual qualities was attributed, according to the data, to an increase in Curc content.For AgNPs and raise the strength of surface plasmon resonance (SPR), which will boost NP production and enhance fluorescence.The absorption which emerges near wave number 3451 cm -1 in the infrared Fourier test of AgNPs was researched because it results from the alcohol group's (OH) bond vibration.The aromatic (C-H) bond is the absorption bond 2927 cm -1 , indicating that Curc functions as a cover agent.A study was conducted using XRD to examine AgNPs and a hybrid mixture of Curc and AgNPs.XRD data of AgNPs revealed a cubic and polycrystalline crystal structure, with several angles recorded that are exactly the same as the international standard cards for silver.A straightforward platform for improving optical qualities is offered by such hybrid Ag/Curc dye nano composite, which may find use in nanoprobing as well as nano-medical applications, including the antibacterial domain.
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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) | 0.002 | 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".