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Record W4240462707 · doi:10.1149/ma2019-02/25/1162

(Invited) (Si)GeSn Semiconductors for Integrated Optoelectronics, Quantum Electronics, and More

2019· article· en· W4240462707 on OpenAlexaboutno aff
Simone Assali, Salim Abdi, Mahmoud R. M. Atalla, Anis Attiaoui, Étienne Bouthillier, Patrick Del Vecchio, Léonor Groell, Aashish Kumar, Lu Luo, Samik Mukherjee, Jérôme Nicolas, Oussama Moutanabbir

Bibliographic record

VenueECS Meeting Abstracts · 2019
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsnot available
Fundersnot available
KeywordsHeterojunctionMaterials scienceSemiconductorOptoelectronicsChemical vapor depositionWaferNanotechnology

Abstract

fetched live from OpenAlex

Sn-containing group IV semiconductors (Si)GeSn represent a versatile platform to implement a variety of Si-compatible photonic, optoelectronic, and photovoltaic devices. This class of semiconductors provides two degrees of freedom, strain and composition, to tailor the band structure and lattice parameter thus enabling a variety of heterostructures and low-dimensional systems on a Si substrate. In this presentation, we will discuss the recent progress in the growth of metastable (Si)GeSn semiconductors. We will highlight the current understanding of their fundamental properties and elucidate the effects of the atomistic-level structure on their optoelectronic performance. The relevance of these semiconductors for Si-compatible mid-infrared optoelectronics and quantum information will also be discussed form both materials and device perspectives. The (Si)GeSn multi-layer heterostructures discussed in this work have a Sn content reaching ~20at.% grown in a chemical vapor deposition (CVD) reactor on 4-inch Silicon wafers, using Monogermane (GeH 4 ) and tin-tetrachloride (SnCl 4 ) precursors, and disilane (Si 2 H 6 ). By reducing the growth temperature, the Sn content in the alloy is increased, while preserving a high degree of crystal quality for the heterostructure in the topmost Sn-rich layer. No threading dislocations are observed in the upper layers, while misfit and edge dislocations remain mainly confined in the low Sn content layers underneath and in the proximity with the Ge-GeSn interface. By comparing multiple sample series with different strain and composition we demonstrate that the growth rate and the choice of the Ge hydride gas precursor play a limited role in enhancing the incorporation of Sn in the Ge lattice. However, strain minimization and the reduced growth temperature below 350 °C are of paramount importance to achieve Sn-rich GeSn semiconductors.[2,3] Atom probe tomography (APT) measurements will be discussed to address the abruptness of the interfaces in the GeSn multi-layer heterostructure and the composition uniformity.[2] The absence of short-range atomic ordering and Sn precipitates is estimated from the extended statistical APT analyses. Positron annihilation lifetime spectroscopy (PAS) and depth-profiled Doppler broadening measurements will be presented and discussed to elucidate the behavior of point defects in these semiconductors. Based on these analyses, we found that divacancies are the predominant type of point defects in GeSn.[4] Surprisingly, the increase in Sn content in the alloy yields an increase in the concentration of divacancies together with a small reduction in vacancy clusters. The interaction and possible pairing between Sn and vacancies have been proposed to explain the reduced formation of larger vacancy clusters in GeSn with higher Sn content. Photoluminescence (PL) emission studies will be described. In our GeSn with a Sn content of 18at.% the room temperature PL emission was found to be centered at 0.36 eV (i.e. 3.5 μm wavelength).[2] However, the compressive in-plane strain (-1.3 %) in these GeSn layers reduces the directness of the alloy, leading to a higher energy gap value. By releasing the strain down to -0.2% in the 18 at.% Sn layer using a fully-underetched micro-disk geometry, a 50 meV red-shift of the PL emission energy down to 0.31 eV (i.e. 4.0 μm wavelength) is obtained. Moreover, the strained and relaxed PL emission and reflectance measurements ranging from 300K down to 4K will be shown. These observations will be discussed in the light of photocurrent measurements and photodetector performance. Finally, we will also discuss the use of GeSn as a platform to develop highly tensile strained Ge quantum wells (QWs. These low-dimensional systems, made possible by the availability of GeSn templates, create a wealth of opportunities to design and fabricate new quantum devices. For instance, unlike the compressively strained QWs, the top of the valence band is of light hole (LH) type under tensile strain, thus corresponding to a much smaller effective mass and ½ spin. These characteristics, combined with high hole mobility and strong spin-orbit coupling in Ge, make tensile strained Ge QWs more attractive for hole spin qubits. Acknowledgements The authors thank J. Bouchard for the technical support with the CVD system. O.M. acknowledges support from NSERC Canada (Discovery, SPG, and CRD Grants), Canada Research Chairs, Canada Foundation for Innovation, Mitacs, PRIMA Québec, and Defence Canada (Innovation for Defence Excellence and Security, IDEaS). References [1] S. Wirths, D. Buca, and S. Mantl, Prog. Cryst. Growth Charact. Mater. 62, 1 (2016) [2] S. Assali, J. Nicolas, S. Mukherjee, A. Dijkstra, and O. Moutanabbir, Appl. Phys. Lett. 112, 251903 (2018). [3] S. Assali, J. Nicolas, and O. Moutanabbir, J. Appl. Phys. 125, 025304 (2019). [4] S. Assali, M. Elsayed, J. Nicolas, M.O. Liedke, A. Wagner, R. Krause-Rehberg, and O. Moutanabbir, arXiv:1904.09909

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 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 score0.394
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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.

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
Published2019
Admission routes1
Has abstractyes

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