Bibliographic record
Abstract
T is a considerable interest in developing nanoscale switching and sensing devices using metallic nanomaterial hetero structures. When light falls on the surface of the metal, surface plasmons couple with photons to create surface plasmon polaritons (SPPs). We will discuss theoretically and experimentally the SPPs in metallic nano-hole structures. We have investigated theoretically and experimentally the light-matter interaction in metallic nano-hole structures. The surface plasmon polaritons (SPPs) of this structure are calculated by using the transmission line theory and the Bloch theorem. Using the transfer matrix method we have found that the energies of SPPs are quantized and systems can have several SPPs depending on the radius and periodicity of the structures. A theory of the scattering cross section is developed usingthe Greens function method. A fairly good agreement between theory and experiments are found. It is found that energySPP peaks in the spectrum can be modified by changing the periodicity of the nano-hole structure.This can achieved by applying an external laser and external pressure pulse on the structure. The present findings suggested that these systems can be used as nanosensors and nanoswitches for medical and engineering applications.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".