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Record W4394994834 · doi:10.1109/jlt.2024.3391919

Self-Aligning Sockets for Packaging Multicore Fibers to Photonic Integrated Circuits

2024· article· en· W4394994834 on OpenAlex
Gligor Djogo, Jianzhao Li, Stephen Ho, Erdem Yigit Ertorer, Peter R. Herman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Lightwave Technology · 2024
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhotonic integrated circuitMulti-core processorPhotonicsIntegrated opticsMaterials scienceIntegrated circuitOptical fiberElectronic circuitSilicon photonicsOptoelectronicsElectronic engineeringComputer scienceEngineeringElectrical engineeringTelecommunicationsParallel computing

Abstract

fetched live from OpenAlex

The low-loss interconnection of multicore fiber with other fibers or photonic integrated circuits poses significant challenges in photonic packaging. Femtosecond laser processing has been harnessed here to combine three-dimensional writing of low-loss optical waveguides with laser-guided etching of self-aligning fiber sockets. The silica platform facilitated efficient packaging of multicore and single-core fibers into the underlying photonic circuitry, providing submicron registration of the waveguide cores. The direct writing approach offers facile connectivity of specialty fiber types with high-bandwidth optical links, high channel-density integrated chips, and micro-scale sensors.

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.

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 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 score0.173
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.244
Teacher spread0.235 · 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