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Record W2022038367 · doi:10.1109/cleoe.2011.5942691

High index glass CMOS compatible all-optical chips for telecom and optical interconnects

2011· article· en· W2022038367 on OpenAlexaff
David Moss, Alessia Pasquazi, Marco Peccianti, Luca Razzari, D. Duchesne, Marcello Ferrera, Brent E. Little, Roberto Morandotti

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsCMOSIntegratorAmplifierOptoelectronicsResonatorPhysicsElectrical engineeringMaterials scienceOpticsComputer scienceEngineering

Abstract

fetched live from OpenAlex

This paper reports a wide range of functions in a CMOS compatible high index doped silica glass platform, including an integrated multiple wavelength source, an ultra-high repetition rate modelocked laser, and an all-optical integrator. CW oscillation in a Q =1.2 million micro-ring resonator with a slope efficiency of 7.4% (single oscillating mode, single port), a threshold power of 54 mW, and frequency spacings from 200 GHz to >; 6THz was achieved as well as modelocking with repetition rates as high as 800GHz. Novel functions in ultra-long (45cm) spiral waveguides, including a time-lens optical oscilloscope and parametric amplifier with >; 15dB of gain is also reported. The success of these devices is due to very low linear loss, negligible nonlinear loss (up to 25GW/cm2), and a high γ = 233W-1km-1. The low loss, design flexibility, and CMOS compatibility of this platform will enable devices for telecommunications, computing, sensing, metrology and other areas.

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 score0.007
Threshold uncertainty score0.024

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.004

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 head0.224
Teacher spread0.198 · 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
Published2011
Admission routes1
Has abstractyes

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