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Record W2769443708 · doi:10.1109/pn.2017.8090598

Quaternary III-V semiconductor compounds for integrated nonlinear optics

2017· article· en· W2769443708 on OpenAlexaff
Shayan Saeidi, Kashif M. Awan, Ksenia Dolgaleva

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOptoelectronicsSemiconductorMaterials scienceAbsorption (acoustics)Band gapWavelengthRefractive indexSubstrate (aquarium)Gallium arsenideWaveguideFabricationOpticsLaserPhysics

Abstract

fetched live from OpenAlex

In this study, we propose several designs for integrated waveguides based on quaternary III-V semiconductor compounds InGaAsP (on InP substrate) and AlGaAsSb (on GaSb substrate), and report on their fabrication and optical characterization. III-V semiconductor compounds tend to exhibit strong nonlinearities; these typically come along with undesirable effects such as nonlinear absorption. In quaternary III-V compounds, one has a good control over this characteristic. For instance, by shifting the band-gap wavelength through adjusting the material composition, one can change the range of wavelengths that can experience two-photon absorption. Therefore, it would be possible to minimize the losses due to nonlinear absorption [1]. Based on the possible band-gap wavelength and refractive index ranges that can be achieved in these two compounds, one can expect that both InGaAsP and AlGaAsSb waveguides can be suitable for wide-range wavelength conversion. InGaAsP waveguides can, for example, be co-integrated with InGaAsP laser sources to extend their operation ranges to longer wavelengths (2 μm and beyond). The properties of AlGaAsSb, on the other hand, allow passive waveguide devices operating in the Telecom C-band.

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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.269
Teacher spread0.243 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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