Analysis of a bistable thermally tunable waveguide
Bibliographic record
Abstract
The effect of thermal tuning on the optical properties of an SOI based suspended waveguide is analysed. This analysis is based on the model that a fixed-fixed suspended beam, which forms the optical waveguide, will buckle when thermal expansion causes an axial stress that exceeds the critical buckling pressure of the beam. The analysis of the waveguide response will be broken up into the pre- and post-buckle stages of thermal actuation. Each stage of actuation will have a separate relationship for the shift in optical response as a function of temperature, which will include a combination of the thermo-optic, photo-elastic, and thermo-elastic effects. Given a corrugated, or "Bragg grating" version of the waveguide, it will be shown that thermally tuning the Bragg wavelength involves a change in index via a change in temperature and stress, and a change in grating pitch via a change in temperature. Particular attention will be paid to the evolving stress field over the length of the waveguide and its relationship to the stress-optic effect. It will also be shown that the pre- and post-buckle temperatures are path-dependant. Finally, examples of device implementation will be explored.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".