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Record W4393174726 · doi:10.1049/icp.2023.2241

Fully integrated Si-rich silicon nitride wavelength converter based on Bragg scattering intermodal four-wave mixing

2023· article· en· W4393174726 on OpenAlexaff
Valerio Vitali, Thalía Domínguez Bucio, Hao Liu, Jose Manuel Luque Gonzalez, Francisco Jurado-Romero, Alejandro Ortega‐Moñux, Glenn Churchill, James C. Gates, James Hillier, N. Kalfagiannis, Daniele Melati, Jens H. Schmid, Ilaria Cristiani, Pavel Cheben, J. G. Wangüuemert-Pérez, Íñigo Molina‐Fernández, Frédéric Y. Gardes, Cosimo Lacava, Periklis Petropoulos

Bibliographic record

VenueIET conference proceedings. · 2023
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsNational Research Council Canada
FundersEngineering and Physical Sciences Research Council
KeywordsMaterials scienceBroadbandMultiplexingOptoelectronicsFour-wave mixingSilicon nitrideBandwidth (computing)SiliconWavelengthOpticsElectronic engineeringComputer sciencePhysicsTelecommunicationsNonlinear opticsEngineering

Abstract

fetched live from OpenAlex

We report the demonstration of an integrated silicon-rich silicon nitride wavelength converter based on Bragg scattering intermodal four-wave mixing process. The system integrates mode conversion, multiplexing and de-multiplexing functionalities on chip. Broadband signal conversion with a 3dB bandwidth exceeding 70 nm is demonstrated.

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 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 score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.224
Teacher spread0.195 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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