New methods of defect-enhanced quantum well intermixing and demonstrated integrated distributed-feedback laser modulator
Bibliographic record
Abstract
New methods of implementing quantum well intermixing (QWI) in InP-based materials using defect-enhanced diffusion are presented and compared to the widely reported technique employing dielectric (usuall SiO<SUB>2</SUB>) capping with subsequent rapid thermal anneal (RTA) treatments. The new methods discussed use InP layers grown either at low temperature by gas-source molecular beam epitaxy (GSMBE) or using He-plasma-assisted GSMBE where growth surface is subjected to a continuous low energy He-plasma generated in an electron cyclotron resonance (ECR) source. The two new QWI processes, and the SiO<SUB>2</SUB> capping method, are applied to a 1.55(mu) m InGaAsP multiple quantum well laser structure. For application of the QWI process the laser structure growths are interrupted in a manner and location appropriate to carrying out the QWI process and subsequent grating etch for the fabrication of a distributed feedback (DFB) laser. After implementing the QWI and grating etch, growth on the top cladding and contact layers completes the device structure. Finally, the fabrication of a DFB laser with an integrated electro-absorption (EA) modulator is described and the resultant characteristics given.
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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) | 0.001 | 0.001 |
| 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 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".