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Radiative carrier lifetime in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><mml:msub><mml:mi>Ge</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi>Sn</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:math> midinfrared emitters

2023· article· lv· W4389247843 on OpenAlexafffund
Gérard Daligou, Anis Attiaoui, Simone Assali, Patrick Del Vecchio, Oussama Moutanabbir

Bibliographic record

VenuePhysical Review Applied · 2023
Typearticle
Languagelv
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsPolytechnique Montréal
FundersArmy Research OfficeNatural Sciences and Engineering Research Council of CanadaMitacsCanada Research ChairsCanada Foundation for InnovationPublic Risk Management Association
KeywordsPhotoluminescencePhysicsRadiative transferSpectral linePhotonicsSemiconductorBand gapMaterials scienceAtomic physicsCondensed matter physicsOpticsOptoelectronicsQuantum mechanics

Abstract

fetched live from OpenAlex

${\mathrm{Ge}}_{1\ensuremath{-}x}{\mathrm{Sn}}_{x}$ semiconductors have promise for large-scale, monolithic, midinfrared photonics and optoelectronics. However, despite the successful demonstration of several ${\mathrm{Ge}}_{1\ensuremath{-}x}{\mathrm{Sn}}_{x}$-based photodetectors and emitters, key fundamental properties of this material system are yet to be fully explored and understood. In particular, little is known about the role of the material properties in controlling the recombination mechanisms and their consequences for the carrier lifetime. Evaluating the latter is in fact fraught with large uncertainties that are exacerbated by the difficulty in investigating narrow-band-gap semiconductors. To alleviate these limitations, herein we demonstrate that the behavior of the radiative carrier lifetime can be evaluated from straightforward excitation power- and temperature-dependent photoluminescence measurements. To this end, a theoretical framework is introduced to simulate the measured spectra by combining the band structure calculations from the k.p theory and the envelope function approximation to estimate the absorption and spontaneous emission. The model computes explicitly the momentum matrix element to estimate the strength of the optical transitions in single bulk materials, unlike the joint density of states model that assumes a constant matrix element. Based on this model, the temperature-dependent emission from ${\mathrm{Ge}}_{0.83}{\mathrm{Sn}}_{0.17}$ samples at a biaxial compressive strain of $\ensuremath{-}1.3\mathrm{%}$ is investigated. The simulated spectra reproduce accurately the measured data thereby enabling the evaluation of the steady-state radiative carrier lifetimes, which are found in the range 3--22 ns for temperatures between $10$ and 300 K at an excitation power of $0.9\phantom{\rule{0.2em}{0ex}}\mathrm{kW}/{\mathrm{cm}}^{2}$. For a lower power of $0.07\phantom{\rule{0.2em}{0ex}}\mathrm{kW}/{\mathrm{cm}}^{2}$, the obtained lifetime has a value of $1.9\phantom{\rule{0.2em}{0ex}}\mathrm{ns}$ at 4 K. The demonstrated approach yielding the radiative lifetime from simple emission spectra will provide valuable inputs to improve the design and modeling of ${\mathrm{Ge}}_{1\ensuremath{-}x}{\mathrm{Sn}}_{x}$-based devices.

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 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: none
Teacher disagreement score0.102
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1020.032

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 head0.244
Teacher spread0.229 · 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".

Quick stats

Citations3
Published2023
Admission routes2
Has abstractyes

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