Design and simulation of an ultra compact integrated wave plate using photonic crystal slab waveguide
Bibliographic record
Abstract
We have designed and simulated compact photonic crystal (PC) slab waveguide based wave plate. We have numerically investigated the optical path of the TE-like and TM-like waves propagating through a triangular based photonic crystal (PC) slab waveguide. The PC slab waveguide is formed by removing one row of the air holes along &Ggr;K direction. The plane wave expansion and three-dimensional finite-difference time domain (3D-FDTD) methods were employed for the design and simulation of the PC slab waveguide. The thickness of 0.75a, a is the lattice constant, for the PC slab waveguide provides both TE-like and TM-like modal guiding within the normalized frequency band of 0.26-0.268. Spatial Fourier transform (SFT) of the electromagnetic field distribution in the propagation direction was used for the analysis of the dispersion properties of the guided modes of the PC slab waveguide. It was found that the effective refractive indices of the TM-like modes were substantially larger than that of the TE-like modes. The large birefringence of this structure suggests that the PC slab waveguide is useful for the construction of compact wave plates. The birefringence larger than 12.6 % within the modal guiding frequency band was achieved for the PC slab waveguide. Thus, the PC slab waveguide with the length of 6 &mgr;m provides first-order half wave plate within the normalized frequency band of 0.26-0.268.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".