Effects of Au catalyst geometry on Ge films grown laterally on Si using the vapor–liquid–solid mechanism
Bibliographic record
Abstract
Abstract A lateral epitaxial growth technique has been demonstrated to grow high-quality Ge micro-films on Si at low temperatures using the vapor–liquid–solid mechanism. These Ge films were grown within a confined structure to foster horizontal growth in the presence of Au catalyst. In this work the size and geometric shape of the Au catalyst were shown to impact the film size and morphology. In particular, a general trend was observed, as the size of Au catalyst increased the Ge film size initially increased as well until the Ge film size plateaued and eventually decreased. This phenomenon is described by a model, which is a function of Au catalyst size and GeH 4 dose and can be used to estimate the final Ge film size. In general, a large-sized Au catalyst absorbs more Ge because of its large vapor–liquid interface but it also requires more Ge to saturate the liquid, and therefore this fact results in a peak in the plot of the Ge film size versus the Au size. In addition, a large GeH 4 dose due to more absorption of GeH 4 leads to multiple nucleation sites in a small Au catalyst, while a micro-crucible with a larger Au volume or reduced vapor–liquid interface can help to realize single nucleation. These results helped in designing two-opening Au catalysts with asymmetric sides, which preferentially nucleates a large crystal near the wider side.
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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".