Ultraviolet-C band AlGaN heterostructures grown on nanopatterned sapphire substrates for lighting and photodetection applications
Bibliographic record
Abstract
AlGaN-semiconductor based ultraviolet-C (UV-C) heterostructures are poised to revolutionize the UV lamp market by replacing bulky and toxic low-pressure mercury lamps. This is due to their compact size, long lifespan, lower direct current (DC) operating voltages, and the absence of toxic materials. However, the external quantum efficiency (EQE) of UV-C LEDs remains significantly lower than that of visible InGaN emitters. In this study, we have demonstrated that using nanopatterned sapphire substrates (NPSS) for UV-C epitaxial heterostructure growth can address these challenges. This approach reduces threading dislocations and improves TM-polarized light extraction through effective scattering, enhancing EQE and overall performance of UV-C LEDs. Furthermore, we explore the size-dependent optoelectronic properties of planar AlGaN UV-C <i>μ</i>LEDs and compare them with ultra-dense nanowire <i>μ</i>LEDs fabricated via a top-down approach. We also study the AlGaN heterostructure-based device performance under UV light irradiation for photodetection at reverse bias, highlighting the advantage of NPSS, and nanostructure fabrication for enhanced light absorption in the active layer and charge collection, thus presenting effective strategies for multifunctional integrated photonic 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".