Magneto–photoluminescence study of intermixed self-assembled InAs/GaAs quantum dots
Bibliographic record
Abstract
The electronic structure of InAs/GaAs self-assembled quantum dots and the carrier capture dynamics in these dots have been studied by magneto–photoluminescence at low temperature (5 K). We report results obtained on a series of samples processed by rapid thermal annealing. This intermixing procedure led to a significant narrowing of the inhomogeneous photoluminescence emission bands related to the various dot shell states, as compared to results obtained on unprocessed samples, which in turn improved the conditions for the observation of the Fock–Darwin energy levels structure as a function of the magnetic field, up to 15 T. We also observed that the ratio of the wetting layer emission intensity over the integrated intensity of the quantum dot emission bands increases nonlinearly with the magnetic field. This nonlinear behavior, which is more apparent at low photocarrier density, suggests that transport properties contribute to limit the carrier capture by the dots.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".