Low-Temperature Selective Area Epitaxy of GaN Nanowires: Toward a Top-Surface Morphology Controllable, Fully Epitaxial Nanophotonic Platform
Bibliographic record
Abstract
Gallium nitride (GaN) nanowires by selective area epitaxy (SAE) are an emerging platform for nanophotonic devices. Nonetheless, the use of a high substrate temperature in SAE limits the development of this technology. In this work, we report the SAE of GaN nanowires at low substrate temperatures by radio frequency plasma-assisted molecular beam epitaxy. Excellent selectivity is obtained at low substrate temperatures; the area without patterning is nearly free of any growth. Furthermore, a delicate control on the nanowire top-surface morphology is enabled by the low temperature epitaxy from an irregular shape to a hexagonal shape with semipolar top planes to a hexagonal shape with polar c -planes on top with controlled polar c -plane size. Such a low temperature SAE of GaN nanowires, together with the elegant control of the nanowire top-surface morphology, will enable a fully controllable, epitaxial nanophotonic platform, benefiting the development of a wide range of photonic devices such as light-emitting diodes, lasers, single photon sources, and multifunctional photonic devices.
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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) | 0.000 | 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 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".