Source configuration dependent molecular beam epitaxy of AlN nanowires
Bibliographic record
Abstract
Aluminum nitride (AlN) has emerged as a critical platform for advancing deep ultraviolet optoelectronics and high-power electronics due to its merits such as a wide bandgap and excellent thermal conductivity. This study explores the molecular beam epitaxy growth of self-organized AlN nanowires on Si (111) substrates, focusing on how the source configuration and substrate rotation affect the nanowire morphology, which is key to their device applications. Under stationary substrate conditions, AlN nanowires grown using two different Al source configurations exhibit similar features, with a highly irregular top surface. With substrate rotation, the top surface becomes more regular. Moreover, when the substrate is rotated, the nanowire morphology is significantly different comparing the samples using two different Al sources, and the sample with the Al source that is close to the nitrogen source is more uniform. The underlying mechanisms for these observations are also discussed.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".