Quantum well intermixing enhanced by InP grown by He-plasma assisted GaS source MBE
Bibliographic record
Abstract
Studies have been carried out on the enhancement of quantum well intermixing (QWI) using the defects present in an epitaxial layer of InP grown by He-plasma assisted gas source molecular beam epitaxy (He*–InP). The structures investigated were single and double InGaAsP quantum wells (QW) with an InGaAsP barrier. QWI was implemented using rapid thermal annealing (RTA) and measured using low-temperature photoluminescence (PL) spectroscopy. Changes in the PL emission wavelength and intensity were investigated as functions of anneal temperature and time, He*–InP layer thickness, He*–InP layer to QW distance and separation of the QWs in the two QW structure. The PL emission from the single QW structure exhibits a blueshift which increases monotonically with increasing anneal temperature and time, and decreases with the distance between the He*–InP layer and the QW. For the double QW samples, initially only the upper QW emits PL but as the anneal conditions increase in temperature and time the PL emission switches to the lower QW. The defect mechanisms responsible for the interdiffusion processes due to the defects present in the He*–InP layer are discussed, and a tentative explanation of the PL blueshift and intensity behaviour is proposed.
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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".