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Self‐Induced Compositional Variations in <scp>GaAs/AlGaAs</scp> Core‐Shell Nanowires

2016· other· en· W4247630029 on OpenAlexaff
Julie S. Nilsen, Aleksander B. Mosberg, Andreas Garmanslund, Johannes F. Reinertsen, A. Mazid Munshi, Dheeraj Dasa Lakshmi Narayana, Bjørn‐Ove Fimland, H. Weman, Antonius Theodorus Johannes van Helvoort

Bibliographic record

VenueEuropean Microscopy Congress 2016: Proceedings · 2016
Typeother
Languageen
FieldEngineering
TopicNanowire Synthesis and Applications
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsWurtzite crystal structureNanowireMaterials scienceTransmission electron microscopyScanning transmission electron microscopyOptoelectronicsPhotoluminescenceDiodeStackingSemiconductorNanotechnologyChemistryZinc

Abstract

fetched live from OpenAlex

Semiconductor nanowires (NWs) have promising properties for optoelectronic devices such as solar cells and light emitting diodes. For the development of such NW‐based devices, the correlation between structural features, composition, and optoelectronic properties of the NWs must be well understood. This task can be challenging as the growth can induce large NW‐to‐NW variations. As a statistical meaningful sampling at the required spatial resolution by multiple techniques would be very time consuming, correlated studies where the exact same NWs are characterized optically and structurally by different techniques are an alternative [1]. In this study, the same single self‐catalyzed GaAs/AlGaAs core‐shell NW is studied using micro‐photoluminescence (µ‐PL) and transmission electron microscopy (TEM). After conventional TEM, cross‐sections of two regions of the same NW were made using focused ion beam (FIB) to obtain a 3D impression of the NW. To study variations in the shell, a cross‐section was made perpendicular to the growth direction from the lower half of the NW, and to study variations in the tip a section was made perpendicular to the ‐1‐12‐direction from the top of the NW (Fig. 1(a)). The cross‐sections were studied using high‐angle annular dark‐field scanning TEM (HAADF STEM) and quantitative electron‐dispersive x‐ray spectroscopy (EDS) to reveal compositional variations in the different directions of the NW. The NWs in the growth batch are mostly defect free zinc blende (ZB), with stacking faults and a wurtzite (WZ) region towards the tip area (Fig. 1(b‐c)). µ‐PL of 17 studied NWs shows a signal at the ZB GaAs free exciton energy at 12 K. About half of the NWs also have an additional PL signal at higher energy, as can be seen in Fig. 1(e). Compositional variations in the AlGaAs shell of the NWs could possibly explain this high‐energy PL emission in the 1.6‐1.8 eV energy range [2]. In both cross‐sections (Fig. 1(d) and Fig. 2) this type of structure, with narrow Al‐rich and Al‐deficient bands parallel to the facets of the NW, is visible. Quantitative EDS maps based on the zeta‐method [3] (Fig. 3(a)) shows that the Al concentration in the Al deficient bands for the observed widths is too high to explain the sharp PL emission in the range 1.6‐1.8 eV. In addition to the shell, the tip region also depicts compositional variations. These features were only visible in the cross‐section normal to the ‐1‐12 ‐ direction (Fig. 1(d) and 2(b)) and not apparent by conventional TEM imaging (Fig. 1(c)). Quantitative EDS (Fig. 3(b)) shows that the Al concentration is varying within the tip. Correlated studies on the very same NW including µ‐PL, conventional TEM, FIB preparation in different directions and quantitative EDS are required to visualize and explain self‐induced compositional variations and peculiar optical characteristics within these GaAs/AlGaAs core‐shell NWs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.005

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 head0.237
Teacher spread0.227 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Admission routes1
Has abstractyes

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