Tuning of the electronic properties of self-assembled InAs/InP(001) quantum dots by rapid thermal annealing
Bibliographic record
Abstract
We have investigated the effect of post-growth rapid thermal annealing on the low-temperature photoluminescence (PL) spectra of self-assembled InAs quantum dots (QDs) grown in InP(001) by chemical-beam epitaxy using both conventional and modified capping procedures. As-grown samples are characterized by a broad emission peak centered near 800–900 meV corresponding to distinct QD families of different sizes with no observable wetting-layer emission. Rapid thermal anneals were performed at 650 to 800 °C for 210 s, resulting in blueshifts of up to 120 meV due to intermixing. While the PL emission energies of the various QD families shift at similar rates upon annealing, the peak widths remain approximately constant. Finally, we show that the growth of a low-temperature InP cap layer containing a large number of point defects significantly enhances interdiffusion and results in PL blueshifts in excess of 300 meV.
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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".