Broadband mid-infrared supercontinuum generation in dispersion-engineered silicon-on-insulator waveguide
Bibliographic record
Abstract
In this paper, we numerically investigate near- and mid-infrared supercontinuum (SC) generation in dispersion-engineered silicon-on-insulator (SOI) waveguides employing a novel side-slotted core structure. The effect of waveguide parameters on the dispersion is studied to achieve optimum dispersion profiles for SC generation in the anomalous and normal dispersion regimes. Numerical results show that by applying an input pump pulse with 200 fs width and 400 W peak power at 2.1 μm wavelength in a 10-mm-long SOI waveguide, SC spectra as wide as 2.8 μm and 2.0 μm can be obtained in the anomalous and normal dispersion regimes, respectively. These waveguides are useful as compact on-chip silicon photonic sources for spectroscopic applications in mid-infrared wavelengths.
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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 | 0.000 | 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".