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Record W2083107603 · doi:10.1109/jstqe.2014.2298458

All-Chalcogenide Raman-Parametric Laser, Wavelength Converter, and Amplifier in a Single Microwire

2014· preprint· en· W2083107603 on OpenAlexafffund
Raja Ahmad, Martin Rochette

Bibliographic record

VenueIEEE Journal of Selected Topics in Quantum Electronics · 2014
Typepreprint
Languageen
FieldEngineering
TopicPhotonic Crystal and Fiber Optics
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChalcogenideMaterials scienceOpticsSupercontinuumRaman scatteringOptoelectronicsLaserRaman spectroscopyAmplifierWavelengthFour-wave mixingNonlinear opticsPhotonic-crystal fiberPhysicsCMOS

Abstract

fetched live from OpenAlex

Compact, power efficient, and fiber-compatible lasers, wavelength converters, and amplifiers are vital devices for the future of fiber-optic systems and networks. Nonlinear optical effects, like Raman scattering and parametric four-wave mixing, offer a way to realize such devices. Here, we use a single chalcogenide microwire to realize a device that provides the functions of a Stokes Raman-parametric laser, a four-wave mixing anti-Stokes wavelength converter, an ultra-broadband Stokes/anti-Stokes Raman amplifier and a supercontinuum generator. The device operation relies on ultrahigh Raman and Kerr gain that are up to five orders of magnitude larger than in silica fibers, precisely engineered chromatic dispersion, and high photosensitivity of the chalcogenide microwire. Owing to the underlying principle of nonlinear optical processes, the device is anticipated to operate over the entire transmission window of the chalcogenide glass (λ ~ 1-10 μm).

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 score0.001
Threshold uncertainty score0.004

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.233
Teacher spread0.216 · 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
Published2014
Admission routes2
Has abstractyes

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