Blue Shift of Band Gap for InGaAs/InP MQWs with Si_3N_4 Capped Layer by Impurity-free Vacancy Disordering
Bibliographic record
Abstract
Blue shift of band gap for InGaAs/InP MQW structures caused by impurity-free vacancy disordering was investigated using photoluminescence (PL) and secondary ion mass spectrum (SIMS). Si 3N 4 was used for the dielectric layer to create the vacancies. The sample undergone rapid thermal annealing (RTA). The results indicate that the blue shift of band gap depends on the annealing temperature and annealing time. Choosing reasonable annealing condition can control the magnitude of blue shift. The SIMS profile shows that the Si 3N 4 dielectric capped layer and rapid thermal annealing (RTA) will cause quantum well intermixing which is the main reason for the blue shift of the band gap.
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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) | 0.001 | 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 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".