Selective Area Growth of GaN on SiC Substrate by Ammonia-Source MBE
Bibliographic record
Abstract
The feasibility of selective area growth of GaN by ammonia-MBE has been demonstrated on SiC substrates. Under typical growth conditions for ammonia-MBE, GaN was unable to nucleate on the bare SiC surface. However, GaN nucleation could occur instantly if the SiC surface was first seeded with a thin (300 Å) AlN layer prepared by magnetron sputter epitaxy. Thus, GaN growth could occur selectively from a patterned, pre-deposited thin AlN seed layer, and effectively utilizing the exposed SiC surface as a pseudo mask. Evidence of lateral overgrowth was observed by scanning electron microscopy and X-ray diffraction studies. The selectively grown GaN patterns exhibited a strong tendency to form {101} or {102} type of facets with excellent smoothness.
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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".