Enhanced anisotropy of gold nanorods-polymer composite films for optical applications
Bibliographic record
Abstract
The strong optical absorption, scattering and local electric field enhancement associated with the longitudinal Surface Plasmon Resonance (SPR) of gold nanorods (AuNRs) have important applications in imaging, sensing, nonlinear optics, thermal therapy and data encoding. The longitudinal SPR mode can be optimally excited only in the NRs that are most aligned with the electric field of a linearly polarized incident light. Thus, in cast polymer based nanorod composite films, where the NRs orientation is random, only a fraction of the embedded NRs is actually usable to the maximal extent for the intended applications. To enhance the degree of alignment of the AuNRs by uniaxial stretching and increase the application efficiency, we have improved the polymer matrix with respect to plastic deformation and designed a suitable drawing device to reduce the fracture risks of the polymer. The resulting nanocomposite film was characterized by Scanning Electron Microscopy (SEM) and by spectroscopy using linearly polarized light in the UV-Visible range. The linear dichroic ratio of the stretched nanocomposite film was calculated based on the ratio of the peak absorbance of the incident light parallelly polarized, to that of the light polarized perpendicularly to the NRs long axes.
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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".