<title>Effect of process-induced stress in InP/InGaAsP weakly confined waveguides</title>
Bibliographic record
Abstract
InP/InGaAsP weakly confined wave guides, are of interest for the fabrication of a variety of optoelectronic devices, including optical cross point switches. Previous studies have shown that stress from metallization alters the behavior of these waveguides and the strain-induced changes in refractive index have been investigated by studying the degree of polarization (DOP) from the facets of ridge waveguide (RWG) lasers. However, in devices intended for waveguide routing or switching, e-beam deposited TiPtAu contacts, caused broadening and splitting of the optical near field mode profile after thermal annealing and increased waveguide loss. In this paper, we report the results of a study of process-induced changes on the optical near field mode profile, for different dielectric depositions, metallizations and anneal cycles. It was found that the addition of a layer of the TiPtAu. This not only eliminated the mode splitting, but for sufficiently high values of compressive stress, was found to actually sharpen the mode and enhance the guiding. On the basis of these results stable waveguides, suitable for routing or switching were achieved for a range of device parameters, operating conditions and process parameter variations.
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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) | 0.001 | 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".