Optimization of planar silica-on-silicon photonic devices through cladding material properties
Bibliographic record
Abstract
The performance of silica-on-silicon planar waveguide devices is highly dependent on the properties of the layers comprising their structure. In this work we have investigated in some detail the properties of doped-silica layers formed by plasma enhanced chemical vapour deposition (PECVD). Parameters such as the refractive index, optical loss, stress and reflow characteristics of borophosphosilicate glass (BPSG) layers have been studied as a function of composition and processing conditions. Using the information gained, we have fabricated arrayed waveguide grating (AWG) demultiplexers and Bragg grating wavelength filter devices. Through careful adjustment of the properties of the top BPSG cladding layers, the performance of these devices, which are highly wavelength and polarization sensitive, can be easily controlled. Correlation of wavelength dependence, optical loss, and polarization dependence of different device designs, with the properties of the top BPSG cladding layer has allowed optimization of these devices and provides invaluable materials and process knowledge for the future use of silica-based layers in these and other photonic device applications.
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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) | 0.001 | 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) | 0.000 | 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".