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Record W2942778021 · doi:10.1364/oe.27.014338

Broadband, low-loss silicon photonic Y-junction with an arbitrary power splitting ratio

2019· article· en· W2942778021 on OpenAlex
Zhongjin Lin, Wei Shi

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueOptics Express · 2019
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship Council
KeywordsSilicon on insulatorMaterials scienceOpticsPhotonic integrated circuitExtinction ratioPhotonicsInsertion lossSiliconSilicon photonicsBroadbandOptoelectronicsWavelengthPhysics

Abstract

fetched live from OpenAlex

Photonic integrated circuits (PICs) often require broadband power splitters such as Y-junctions for signal monitoring, signal feedback, power distribution, etc., with various splitting ratios. Therefore, a parameterized Y-junction with an arbitrary power splitting ratio that can be selected in layout design is desired in a PIC library. Here, we propose an ultra-compact (1.4 μm × 2.3 μm) Y-junction on the 220-nm-thick silicon-on-insulator (SOI) platform for an arbitrary splitting ratio with a programmable design. It applies smooth curvatures for a good tolerance to fabrication errors. Rigorous 3D-FDTD simulations predict an excess loss below 0.36 dB and a splitting-ratio variation of less than 1 dB over 100 nm. Experimental results achieved using a CMOS-compatible silicon photonics process show an excess loss of lower than 0.5 dB for a splitting ratio varied from 0 to -18 dB across the entire C band. Both numerical and experimental results show that the power splitting ratio of the proposed device is weakly wavelength dependent.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.201
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