Birefringence compensation in silicon-on-insulator planar waveguide demultiplexers using a buried oxide layer
Bibliographic record
Abstract
The high index contrast of silicon-on-insulator (SOI) enables the scaling down of planar waveguide components into the microphotonic regime, but has the unwanted consequence of inducing a large TE-TM polarization birefringence. For ridge waveguides this birefringence can be reduced to an acceptable level by using appropriate ridge dimensions [1], but with decreasing Si thickness the required fabrication tolerances quickly become too narrow to implement this solution. Components with slab waveguide regions such as echelle grating demultiplexers cannot be made polarization independent using this method. An alternate approach is to introduce a polarization compensation region in the combiner section of an AWG or echelle grating to eliminate the polarization dependent wavelength shift[2]. In its original implementation, the compensator is fabricated by changing the local waveguide thickness. The resulting birefringence correction can be sensitive to errors in etch depth, and the mode mismatch between compensator and slab waveguide sections is a source of approximately 1 dB extra insertion loss (IL) for SOI demultiplexers with Si waveguide thickness in the range from 2 to 5 m. We describe a new compensator structure for the SOI platform using a buried low index layer, in this case SiO2 sandwiched between the Si waveguide layer and another Si cap layer. Such a silicon-oxide-silicon (SOS) compensator on SOI can eliminate the TE-TM wavelength shift of an SOI AWG or echelle grating demultiplexer without introducing a significant mode mismatch between the compensator and slab waveguide sections. A demultiplexer with an SOS compensator has almost 1 dB lower insertion loss of an equivalent device with an etched compensator. The SOS compensator is easily implemented using standard oxide and a-Si or polysilicon deposition techniques. In this paper we present calculations and experimental results on the effective birefringence compensation, PDL and IL of SOS compensators in SOI waveguide demultiplexers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".