Self-assembled InAs quantum dots and wires grown on a cleaved-edge GaAs(110) surface
Why this work is in the frame
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Bibliographic record
Abstract
We studied the conditions for the Stranski-Krastanov mode of molecular beam epitaxial growth of InAs on a cleaved GaAs(110) surface. Temperature distributions on a subholder with cleaved facets were revealed using thermophotography. Combining these data with a theoretical model enabled a determination of the real temperature on the cleaved-edge surfaces (110), which differed markedly from the temperature on a planar wafer (100). Based on these results, we proposed an approach that combines different growth conditions in one technological process. As a result, appropriate growth conditions were established for InAs quantum dots grown on the cleaved GaAs(110) surface. Control over the dot nucleation process was shown to permit growth of both linear arrays of quantum dots and planar quantum wires on these (110) surfaces.
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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) | 0.000 | 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 it