Polarization‐Independent Complex Bragg Grating Filters on Silicon Nitride
Bibliographic record
Abstract
Abstract Integrated optical filters are essential components of on‐chip multiplexers, which play a critical role in enhancing data throughput for high‐demand networks. Since optical multiplexers are typically connected through fiber‐optic links where the polarization state of light fluctuates randomly, polarization insensitivity is an important prerequisite for integrated optical filters. In this work, polarization‐insensitive optical filters are demonstrated on the silicon nitride platform operating in the datacom O‐band. The filters are based on cladding‐modulated Bragg gratings, which offer improved fabrication tolerances and reduced losses compared to conventional sidewall gratings. By judiciously designing grating dimensions, filters are demonstrated with single‐band, dual‐band, and four‐band spectral characteristics. The fabricated filters achieve an insertion loss below 1.0 dB and a band rejection greater than 25 dB for spectral bands that are 3 nm wide and 9 nm apart.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".