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Record W4414331380 · doi:10.1364/oe.567178

Dual-pumping supercontinuum generation and temporal reflection in a nonlinear photonic integrated circuit

2025· article· en· W4414331380 on OpenAlexaff
charbel khallouf, Lynn Sader, Alexis Bougaud, G. Fanjoux, Brent E. Little, Sai T. Chu, David Moss, Roberto Morandotti, Govind P. Agrawal, John M. Dudley, Benjamin Wetzel, Thibaut Sylvestre

Bibliographic record

VenueOptics Express · 2025
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsInstitut National de la Recherche Scientifique
FundersEuropean Research CouncilConseil Régional AquitaineHorizon 2020 Framework ProgrammeAgence Nationale de la RechercheConseil régional de Bourgogne-Franche-ComtéInstitut Universitaire de France
KeywordsSupercontinuumBandwidth (computing)Fourier transformNonlinear systemNonlinear opticsPhotonic integrated circuitPhotonicsBroadbandTotal internal reflection

Abstract

fetched live from OpenAlex

We report on what we believe is the first demonstration of on-chip supercontinuum generation through dual-wavelength pumping of a nonlinear photonic integrated circuit, fabricated from high-index doped silica glass. In addition to the bandwidth enhancement through cross-phase modulation, we also observe multiple temporal reflections that help to extend the bandwidth further through far-detuned radiations. The experimental results show good agreement with the phase-matching theory and numerical simulations. Additionally, our real-time, pulse-to-pulse, spectral measurements through the dispersive Fourier transform technique reveal a significant increase in relative intensity noise for dual-wavelength pumping compared to the case of single-wavelength pumping.

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 score0.002

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.253
Teacher spread0.233 · 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
Published2025
Admission routes1
Has abstractyes

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