Designing of a Novel Nanophotonic Structure Based on 2D Photonic Crystals for the Detection of Different Materials
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Bibliographic record
Abstract
This article focuses on the study of a sensor for the detection of different materials, for which we proposed a novel platform based on 2D photonic crystals. This platform is a nanostructure that carries two parallel waveguides and a resonator in between. For study, this resonator is replaced each time by materials that are: Human Cornea, Teflon (C2F4), Opal (SiO2-nH2O), Aluminum phosphate (Al2PO4) and Topaz (Al2SiO4 (F; OH)2) with their refractive index following, 1.3375, 1.36, 1.45, 1.53 and 1.606 respectively. The proposed design is composed of silicon dielectric rods (Si) with a refractive index of 3.46 submerged in the air where 'n' of air is 1. To examine this structure, a PWE (plane wave expansion approach) and FEM (finite element method) are applied. The (PWE) is used to extract the PBG (photonic band gap) and (FEM) used by COMSOL software in order to extract the desired numerical results such as: the distribution of 'n' and the size of the mesh element all along the structure, followed by the behavior of the electric field (E) along the structure at the resonance before and after injection of the different materials. We also presented the variations of the power flow norm, the total energy density as well as the transmission for the materials used. This study allowed us to observe a significant change in the power flow norm and the total energy density as transmission for each material used when their refractive index changes. This change in refractive index 'n' is among the most important parameters in the detection of different types of materials.
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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