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Carrier Localization at Atomic‐Scale Compositional Fluctuations in Single AlGaN Nanowires with Nano‐Cathodoluminescence

2016· other· en· W4232353307 on OpenAlexaff
Steffi Y. Woo, Luiz H. G. Tizei, Matthieu Bugnet, Songrui Zhao, Zetian Mi, Mathieu Kociak, Gianluigi A. Botton

Bibliographic record

VenueEuropean Microscopy Congress 2016: Proceedings · 2016
Typeother
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsMcGill UniversityMcMaster University
Fundersnot available
KeywordsCathodoluminescenceMaterials scienceNanowireOptoelectronicsMolecular beam epitaxyDislocationDopingScanning transmission electron microscopyNanoscopic scaleMicrosecondTransmission electron microscopyNanotechnologyEpitaxyLuminescenceOptics

Abstract

fetched live from OpenAlex

Considerable interest has been generated to develop highly efficient deep ultraviolet (DUV) emitters using AlGaN‐based alloys with direct bandgaps between 3.4 – 6.1 eV for a broad range of applications. Conventional planar AlGaN DUV devices, such as electrically injected solid‐state lasers and light‐emitting diodes, experience limited efficiencies due to the high dislocation density and inefficient p ‐doping with increasing Al‐content using Mg. Nanowire (NW) structures can be a promising alternative to enhance strain relaxation and p ‐doping, both mediated by the additional free surfaces. Exceptionally high internal quantum efficiencies have been reported in high Al‐content AlGaN NWs [1, 2], suggesting strong charge carrier confinement at nanoscale kinetically‐driven alloy inhomogeneities [3] that behave optically as quantum dots [4]. Recently, atomic‐scale compositional modulations have been reported in high Al‐content AlGaN NWs and suggested to act as localization centers to enhance radiative recombination [1, 2]. Comprehensive understanding of emission characteristics in such spontaneously‐formed compositional fluctuations in AlGaN NWs, from directly correlating the localized optical response to structural/chemical properties at relevant lengthscales is still lacking. High and low Al‐content Al x Ga 1‐x N p‐i‐n homojunctions were grown on Si‐doped GaN NW templates on Si(111) substrates by plasma‐assisted molecular beam epitaxy. Characterization on single NWs using nanometer‐scale cathodoluminescence (CL) spectral imaging at 150 K was performed [5], subsequently correlated to structural information obtained with aberration‐corrected scanning transmission electron microscopy (STEM). The low‐Al AlGaN NWs (Sample A, nominally x = 0.11) exhibit an Al‐rich shell that can passivate the surface. A high degree of homogeneity within the AlGaN core region is observed from high‐angle annular dark‐field (HAADF) Z‐contrast imaging, and is further confirmed with electron energy‐loss spectroscopy (EELS) [2]. Individual NWs in Sample A show the presence of up to three emission peaks highly delocalized along the NW length (Fig. 1f–h), two peaks originate from the AlGaN region (sharp 336 nm band‐edge peak, broad and asymmetric peak with 360 nm maximum), and one from the n ‐GaN base (~355 nm). With increased Al concentration (Sample B, nominally x = 0.88), extensive atomic‐scale HAADF intensity fluctuations are present in the AlGaN regions, and these are indicative of strong Ga‐rich/Al‐rich compositional modulations, as validated using EELS elemental mapping at atomic‐resolution [2]. The nature of the laterally discontinuous compositional fluctuations varies between p ‐, i ‐, n ‐doped AlGaN regions (Fig. 2a–e): single atomic layers occurring on c ‐planes along the growth direction in p ‐AlGaN and on semi‐polar {10‐13} planes in i ‐ and n ‐AlGaN. Other nm‐sized modulations and segregation are also observed. NWs in Sample B display a spectrally dense series of narrow lines blue‐shifted (230 – 300 nm), and are drastically more spatially localized within the AlGaN regions in the wavelength‐filtered CL images, relative to Sample A. Subsequent high‐resolution (HR)STEM on these NWs shows that the different spectral behaviors (emission energy) can be correlated to positions along the NW with different types of compositional fluctuations. Specifically, the shortest wavelength peaks (230 – 240 nm) originate from volumes with atomic‐scale Ga‐rich c ‐planes in p ‐AlGaN (Fig. 2c, ROI 1 circled in 2g), while high intensity sharp peaks (250 – 290 nm) can be assigned to regions with atomic‐scale modulations on inclined {10‐13} planes or other nm‐sized segregation (Fig. 2b,d). The presence/absence of extended defects and its role as localization centers will also be discussed [6].

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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 score0.002

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 head0.010
GPT teacher head0.244
Teacher spread0.235 · 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
Published2016
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