Study of Tunable Plasmonic, Photoluminscence, and Nonlinear Optical Behavior of Ag Nanoclusters Embedded in a Glass Matrix for Multifunctional Applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Plasmonic based hybrid noble metal nanoclusters (NCs) have gained much interest in various technological applications such as optoelectronics, photonic devices and nonlinear media including biomedical applications due to their tunable optical properties. Here, Ag NCs are grown as embedded in glass using simple ion‐exchange process and effect of various parameter including post thermal treatment is studied on tunability of their optical behavior (plasmonic, optical nonlinearity, and photoluminescence properties) in view of their potential applications in nanophotonics devices and as nonlinear media. The tunable optical, structural and thermodynamic properties associated with the rapid growth and agglomeration of Ag NCs in the glass is also studied under the post thermal treatment process. The various techniques such as XRD, RBS, Z‐scan and UV‐vis, XPS, PL and TEM are used for characterizing ion exchanged samples. A blue shift of 15 nm is observed significantly in optical absorbance as a function of post thermal treatment. Open and closed aperture Z‐scan experiments show strong nonlinear absorption coefficients for the Ag NCs. The thermodynamic parameters such as enthalpy (ΔH), entropy (ΔS) and Gibbs energy (ΔG) for the nucleation and growth of the Ag NCs in the glass matrix are calculated at different temperatures with an activation energy of 59 kJ mol −1 obtained by the Arrhenius linear equation and a model is suggested. In addition, these Ag NCs embedded glasses exhibit good antimicrobial activities (against E. coli bacteria) with a change in antibacterial behavior at higher annealing temperature indicating their multifunctional applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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 it