Efficient coupling between photonic waveguides and III-nitride quantum emitters in the UV-visible spectral range
Bibliographic record
Abstract
In this study, we establish comprehensive design guidelines to maximize single-mode transmission by efficient coupling between a III-nitride quantum-dot-in-nanowire light emitter and a photonic waveguide in the ultraviolet-visible (UV-Vis) spectral range. Considering feasible epitaxial growth, deposition, and fabrication techniques, this study performs detailed electromagnetic simulations to identify the design limits of viable material systems suitable for monolithic integration of vertical III-nitride nanowires on standard ridge waveguides. We show that unlike systems operating in the near-infrared wavelengths, light coupling and transmission in the UV-Vis range are significantly constrained by substrate leakage and backreflection. Such constraints arise from refractive index contrast of the associated waveguide and substrate materials suitable for epitaxial growth and device fabrication. For optimized dimensions of the nanowire and waveguide structures, the maximum unimodal transmission for practical monolithic systems is ∼14% within the wavelength range of 300–500 nm. The theoretical transmission limit of the monolithic system is shown to be 35% with a substrate of unity refractive index. It has been shown that the best strategy of maximizing coupling between the emission mode of the vertical nanowire and the propagation mode of the planar ridge waveguide is to increase the refractive index contrast between the waveguide and substrate material. Based on these key findings, we propose heterogeneously integrated hybrid structures, which significantly exceeds the unimodal transmission limits of standard monolithic systems attainable with III-nitride material systems in the UV-Vis wavelengths.
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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".