Design Optimization of High Performance Single-mode Fabry-Perot Lasers Based on Quantum Dot Materials
Bibliographic record
Abstract
The interplay of inhomogeneous and homogeneous broadening of InGaAs/GaAs quantum dot (QD) Fabry Perot laser is discussed by a comprehensive rate equation model. It is found that for a given inhomogeneous broadening, there is always an optimum homogeneous broadening which leads to a narrowest output power spectrum. With the optimum values, the single longitudinal mode laser is designed. For a cavity length of 200-m, a SMSR (side mode suppression ratio) of 41.65dB and 3dB bandwidth of 17GHz are obtained under 5mA driving current. Moreover, to get a SMSR over 38dB, the inhomogeneous broadening should be lower than 17meV. This work can provide a quantitative reference basis for the single mode quantum dot laser design.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.005 | 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 teacher head, 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".