Low temperature growth of InAlN on epitaxially grown SiC/Si (111) wafers
Bibliographic record
Abstract
Deposition of InAlN on commercially purchased SiC/(111) Si wafers has been performed in a temperature range of 530°C to 420°C using an alternating precursor MOCVD growth technique. The effect of an InN buffering layer between the substrate and the InAlN layer was explored. Varying the ratio between the InN and AlN in InAlN was also explored. Peak shifting to higher angles was observed in the InN interlayer with increasing AlN content. At temperatures of 510°C and above, indium metal can be seen desorb from the InAlN layer and form a (101) diffraction peak in measurements. Although aluminum can be seen to be present in the InAlN layers through EDX measurements, no indication of crystallinity can be observed through XRD at these temperatures.
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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) | 0.001 | 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 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".