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Record W2326607559 · doi:10.1021/ph500022f

Nonmonotonic Wavelength-Dependent Power Scaling in Silicon-on-Insulator Waveguides via Nonlinear Optical Effect Conglomeration

2014· article· en· W2326607559 on OpenAlexafffund
Shawn Sederberg, A. Y. Elezzabi

Bibliographic record

VenueACS Photonics · 2014
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates
KeywordsSilicon on insulatorNonlinear systemMaterials scienceWavelengthSiliconOpticsScalingOptoelectronicsWaveguideSilicon photonicsNonlinear opticsSelf-phase modulationModulation (music)PhysicsLaser

Abstract

fetched live from OpenAlex

We experimentally investigate self-phase modulation (SPM) in silicon-on-insulator waveguides and present insight into the interplay between SPM and other nonlinear optical effects. Nonlinear interactions are studied in waveguides with cross-sectional widths in the range 260 nm ≤ w ≤ 4150 nm, allowing for detailed study of the influence of mode confinement on SPM. It is found that both the mode confinement and peak intensity in the silicon waveguide are key in defining the nonlinear interaction. Power-scaling trends in different spectral ranges are presented, demonstrating the potential for multiple wavelength nonlinear functionalities in a single device.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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 designSimulation or modeling
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

Citations8
Published2014
Admission routes2
Has abstractyes

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