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Record W4412511857 · doi:10.1149/ma2025-01351682mtgabs

Single Photon Emission Characteristics of Selective Area Grown InGaN/GaN Dot-in-Nanowires on N-Face GaN Substrate

2025· article· en· W4412511857 on OpenAlexaboutno aff
Md Zunaid Baten, Nirmal Anand, S. Haffouz, Haipeng Tang, Sharif Sadaf

Bibliographic record

VenueECS Meeting Abstracts · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsnot available
Fundersnot available
KeywordsNanowireOptoelectronicsMaterials scienceSubstrate (aquarium)Gallium nitrideQuantum dotFace (sociological concept)PhotonWide-bandgap semiconductorNanotechnologyOpticsLayer (electronics)Physics

Abstract

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Single photon emitters (SPEs) and entangled photon pairs are critical enablers for various quantum applications, including quantum communication, computing, and sensing. Unlike conventional atoms/ions and defects-based SPEs, epitaxial, defects-free semiconductor dot-in-nanowires are promising to generate high-brightness, high-purity, indistinguishable single photons and entangled photon pairs on demand at high temperature. To this end, InGaN/GaN dot-in-nanowires are considered prospective for their tunability over a wide range of the electromagnetic spectrum [1, 2]. Conventionally these nanowires (NWs) are grown by metalorganic chemical vapor deposition (MOCVD) or molecular beam epitaxy (MBE) techniques on metal (Ga)-polar GaN or GaN-on-sapphire substrates. However N-face GaN surfaces are considered promising forthe growth of III-nitride nanowires for enhanced indium-incorporation, lower point defects, favorable piezoelectric field, reduced lateral growth, and enhanced verticality with nearly flat-top surfaces [3, 4]. In this work we investigate the prospect of realizing quantum emitters based on selective area grown InGaN/GaN dot-in-nanowires on N-face GaN substrates. The nanowires have been grown by plasma-assisted molecular beam epitaxy (PAMBE) on N-face side of single crystal GaN substrate having SiO2 masks atop, formed by e-beam lithography and reactive ion etching. NWs of different diameters (ranging from 10 nm - 200 nm) and areal density have been grown by changing the pattern design (lattice constant/spacing) and growth parameters (growth temperature, In/Ga beam equivalent pressure/molecular flux, N2 flow).The alloy composition of the InGaN/GaN active region is optimized for emission in the 450 nm-650 nm spectral range. Light output characteristics of the as-grown NWs were obtained by micro photoluminescence measurements. The sparsely grown NWs have been selectively excited using a high-precision piezo-stage (Attocube) and an objective lens (Zeiss) of high magnification and numerical aperture (NA=0.9). Preliminary results show the presence of multiple shoulder peaks, indicating the presence of excitonic, bi-excitonic and/or trionic states. Excitation (both off- and on-resonant) and temperature dependent measurements are currently underway to understand the nature of these emissions in the context of quantum emission. Time resolved and time-correlated measurements will be performed to investigate the lifetimes, spectral purity and temporal coherence of these emitters. The experimental characterization will ultimately provide insight into the prospect of harnessing single-photon emission from selective area grown N-polar InGaN/GaN nanowires, on N-face GaN substrates. References: [1] S. Deshpande et al., Nat. Commun. 4 (1), 1675 (2013) [2] L. Zhang, Appl. Phys. Lett. 108, 153102 (2016) [3] X. Liu et al., Photonics Res. 10(2), 587–593 (2022) [4] K. Khan et al., J. Cryst. Growth 611, 127181 (2023) Acknowledgement: This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) through Quantum Alliance Grant Programs Figure 1

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.243
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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