Stress Engineering With Silicon Nitride Stressors for Ge-on-Si Lasers
Bibliographic record
Abstract
Side and top silicon nitride stressors were proposed and shown to be effective in reducing the threshold current Ithand in improving the wall-plug efficiency ηwpof Ge-on-Si lasers. Side stressors only turned out to be a more efficient way to increase ηwpthan using the top and side stressors together. With the side stressors and geometry optimizations, a ηwpof 34.8% and an Ithof 36 mA (Jthof 27 kA/cm2) can be achieved with a defect limited carrier lifetime (τp,n) of 1 ns. With τp,n= 10 ns, an I th of 4 mA (Jthof 3 kA/cm2) and a ηwp of 43.8% can be achieved. These are tremendous improvements from the case with no stressors. These results give strong support to the Ge-on-Si laser technology and provide an effective way to improve the Ge laser performance.
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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 | 0.000 |
| 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".