Role of vacancy-type defects in the formation of silicon nanocrystals
Bibliographic record
Abstract
The location and size distribution of silicon nanocrystals (Si-nc) formed in SiO2 by Si ion implantation and annealing were investigated. Transmission electron microscopy images revealed that the location and size distribution of the Si-nc are strongly correlated with the location of the vacancies produced in the SiO2 network by the implantation, as simulated by stopping and range of ions in matter and measured by positron annihilation spectroscopy (PAS). Simultaneous consideration of PAS and photoluminescence measurements suggest that the diffusion necessary for Ostwald ripening of Si-nc depends on the concentration and location of vacancy-type defects, and when the majority of these defects have been removed by annealing, the growth of the Si-nc slows dramatically or stops entirely. We demonstrate the capability for modification and enhancement of emission from Si-nc through the controlled introduction of defects into the oxide prior to annealing.
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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) | 0.000 | 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".