Transmission electron microscopy dislocation study of Ge-on-Si films supporting a new lattice-mismatch relaxation mechanism
Bibliographic record
Abstract
We present an in-depth study of Ge(Si), Ge with a potential for some Si, films grown laterally on Si using plan-view transmission electron microscopy (TEM). Earlier, we reported that high-quality Ge films can be grown on Si by using a metal-catalyzed, lateral epitaxial growth technique. In particular, the lateral overgrowth areas of the films demonstrated a much lower dislocation density compared to the first-to-nucleate areas in cross-sectional TEM. Here, we further studied both the film and dislocation morphologies in plan-view TEM to understand more about the growth process and relaxation mechanism. For a film closely studied in plan-view TEM, the center of the film was thicker and contained much more dislocations and there were some thickness variations near the edges. For the central thicker region, the composition was analyzed and three areas within the film were found to be relatively Si-rich and are, therefore, likely to be one of the first-to-nucleate parts of the film. We investigated the dislocation morphology in depth in this film, counting dislocation numbers in both the Si-rich/first-to-nucleate and lateral overgrowth areas of the film. This study indicates that the Si-rich areas contained high dislocation densities (108 or 109 #/cm2), at least one or two magnitudes higher than that of the lateral overgrowth areas, and many dislocations were found to originate from them and extend toward the edge of the film. The observations in this study provide more evidence to support the idea that a new relaxation is present to enable high-quality, lateral Ge growth on Si.
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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".