Two-section tunable laser using impurity free intermixing in InGaAsP multiple quantum well structures
Bibliographic record
Abstract
We report on controlled group V intermixing in a compressively strained In0.76Ga0.24As0.85P0.15/In0.76Ga0.24As0.52P0.48 multi-quantum well laser structure using different encapsulating layers followed by rapid thermal annealing, and the two-section tunable laser made by using this technique. The sample used is a laser structure with emission wavelength at 1.55micrometers . The active region consisting of three In0.76Ga0.24As0.85P0.15 quantum wells with In0.76Ga0.24As0.52P0.48 barriers grown by metal organic chemical vapor deposition. At the same thermal treatment, the blueshift of band gap energy was enhanced most efficiently by capping the sample with an InP layer grown at low temperature and less efficiently by a SiO2 film. While the blueshift was suppressed by a SixNy film with a refractive index of about 2.1. The suppression effect was independent of the SixNy film thickness from 30 nm to 2400 nm. Time of flight secondary ion mass spectra showed that the quantum well intermixing was caused by the interdiffusion of group V atoms between the wells and barriers that have the same group III compositions. A group V interstitial diffusion model was proposed to be responsible for the enhanced intermixing. A 1.55 micrometers two section ridge waveguide laser was fabricated using this technique. The energy transition level of the phase tuning section was tuned to be transparent to the emission wavelength of the active section. A tuning range of about 10 nm can be achieved by simply tuning the bias current for the phase tuning section.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".