A Moderate Confinement O-, S-, C-, and L-Band Silicon Nitride Platform Enabled by a Rapid Prototyping Integrated Photonics Foundry Process
Bibliographic record
Abstract
We describe a rapid prototyping process for silicon nitride photonic integrated circuits operating at wavelengths around 1.3 and 1.5 μm. Moderate confinement silicon nitride waveguides and other essential integrated photonic components, such as fiber-chip couplers, microring resonators, multimode interference-based 3-dB power splitters, and subwavelength grating metamaterial waveguides, were fabricated and characterized and are reported. The prototyping platform features a 400-nm-thick layer of silicon nitride grown via low-pressure chemical vapour deposition onto 4” silicon thermal oxide wafers and uses direct-write electron beam lithography to define single mode waveguide structures that exhibit losses of <1.3 dB/cm across the O-band (1260–1360 nm), <1.8 dB/cm across the S-band (1460–1530 nm), <1.6 dB/cm across the C-band (1530–1565 nm), and <0.7 dB/cm across the L-band (1565–1625 nm) for both transverse electric (TE) and transverse magnetic (TM) polarizations. The reported components were compiled into a process design kit to accompany the platform, which is commercially available through the NanoSOI Design Center operated by Applied Nanotools Inc. with five multi-project wafer runs per year that have fast turnaround times on the scale of weeks rather than months. This provides a route toward the rapid fabrication of silicon nitride chip-based passive and thermo-optic active photonic devices with critical resolution down to 120 nm, making it an attractive solution for entry-level designers, device innovators, and small companies looking to incorporate integrated silicon nitride circuits into early-stage applications of silicon photonics.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".