Growth and characterization of ultrahigh vacuum/chemical vapor deposition SiGe epitaxial layers on bulk single-crystal SiGe and Si substrates
Bibliographic record
Abstract
High-quality SiGe epitaxial layers have been grown on low-defect-density bulk single-crystal SiGe substrates using low-temperature ultrahigh vacuum chemical vapor deposition (UHV/CVD). The layers were simultaneously grown on Si substrates for comparison. Various techniques, including high-resolution x-ray diffraction (HRXRD), photoluminescence (PL), Auger electron spectroscopy, atomic force microscopy (AFM), and cross-sectional transmission electron microscopy (XTEM) were used to characterize the structural quality of the materials. There is good agreement between different techniques for the determination of the composition and thickness of the layers. HRXRD, PL, and XTEM results confirm that the materials deposited are high-quality single-crystal epilayers. The surface root-mean-square roughness measured by AFM is less than 0.4 nm, indicating very smooth surfaces. A thin undoped Si buffer layer was found to improve the structural quality of the layers. The bulk crystal SiGe substrates are useful for the growth of thick lattice-matched and strained SiGe epilayers.
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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 | 0.000 | 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) | 0.001 | 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".