Molecular Beam Epitaxial Growth and Characterization of Nanoscale ScGaN
Bibliographic record
Abstract
Low-dimensional semiconductor materials, including nanowires, have been an attractive platform for cutting-edge semiconductor device development. On the other hand, scandium (Sc) containing III-nitrides (Sc–III-nitrides) is an emerging material system, offering not only novel ferroelectric devices but also potentially multifunctional devices in a single-material platform. In this study, we investigate nanoscale Sc x Ga 1– x N (ScGaN) hosted in GaN nanowires grown by molecular beam epitaxy on Si substrate. The major findings are (1) Within each ScGaN insert layer, the Sc content is not uniform as indicated by transmission electron microscopy studies, suggesting the formation of ScGaN nanoclusters with different Sc contents; (2) ScGaN shell is formed spontaneously; and (3) Zincblende phase is observed in the ScGaN insert layers although the estimated average Sc content is only around x = 0.16. The possible mechanisms related to these findings are also discussed. These unveiled correlated epitaxial and structural properties could help in the development of Sc–III-nitride nanowire devices.
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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".