Climb/glide dislocation sources at low-misfit Ge<sub><i>x</i></sub>Si<sub><i>1</i>-<i>x</i></sub>-Si(001) interfaces
Bibliographic record
Abstract
Detailed analysis of Burgers vectors and line directions has been carried out on three types of dislocation defect (called X, Y and single loops) formed in lowmisfit Ge x Si 1-x /Si(001) heterostructures, grown under conditions of planar interface growth. The X and Y defects originate from small prismatic vacancy half-loops nucleated at visible precipitates at the strained-layer-Si substrate interface. The single-loop defects also originate from small vacancy character half-loops usually nucleated at the interface but also sometimes within the strained layer. After growth, none of the dislocations lies in glide planes, and all three dislocation structures have to be transformed into glissile configurations before they can generate strain-relieving dislocations. The mechanism controlling this sessile/glissile transformation is climb by vacancy absorption. This corresponds to the nucleation stage for the generation of misfit dislocations observed by Houghton and is consistent with the experimental results of Stirpe et al. who found a reduction in the nucleation rates during rapid thermal anneals after Si irradiation at room temperature of the as-grown samples. The paper discusses the driving forces controlling the formation of the observed structures, and their sessile-glissile transformation.
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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 | 0.001 | 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".