Epitaxial Growth of 4H-SiC on (000-1) C-Face Substrates by Cold-Wall and Hot-Wall Chemical Vapor Deposition
Bibliographic record
Abstract
Epitaxial layers have been grown on the (0001) C-face of 2- and 3-inch 4H-SiC wafers. Growth conditions like temperature, pressure, and C/Si ratio have been varied. In both systems smooth surface morphologies could be obtained. The main challenge of epitaxial growth on the Cface of 4H-SiC for electronic device applications seems to be the control of low doping concentration. High temperature and low pressure are the key parameters to reduce the nitrogen incorporation. The hot-wall CVD system used for these experiments allowed the application of higher temperatures and lower pressures than the cold-wall equipment. The lowest doping concentration of 2.5x1015 cm-3 has been achieved by hot-wall epitaxy using a temperature of 1625 °C, a system pressure of 50 hPa, a C/Si ratio of 1.4, and a growth rate of 6.5 2mh-1. Good doping homogeneity on 2-inch and 3-inch wafers could be achieved. For a doping level of ND-NA= 3×1015 cm-3 sigma is about 15%.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".