Compact SOI Polarization Rotators Based on Asymmetric Periodic Loaded Waveguides
Bibliographic record
Abstract
Silicon-on-insulator (SOI) technology is a promising platform for photonic applications.It enables low-cost and large-volume production due to its compatibility with the complementary metaloxide semiconductor (CMOS) fabrication process.With publicly accessible CMOS foundries and multi-project wafer (MPW) runs, SOI-based photonic integrated circuits (PICs) can be realized at an affordable cost.However, the high index contrast between silicon and the top cladding (SiO2 or air) of SOI waveguides leads to considerable modal birefringence.Consequently, SOI-based PICs are generally highly polarization-sensitive, making polarization management a necessity.In this thesis, two polarization rotator (PR) designs based on the 220-nm SOI platform are demonstrated through numerical simulations and experiments.The demonstrated PR designs are based on asymmetrical periodic loaded waveguide structures.The demonstrated designs feature compact device footprints and can be fabricated by CMOS-compatible fabrication processes.Both designs have shown promising performance over the C-band wavelength range (1530 nm-1565 nm) in simulation.However, the fabrication requirements are stringent for these two designs, thus the performance of the fabricated devices are limited by the current fabrication technology.
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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 | 0.001 | 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".