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Record W1964122866 · doi:10.1364/ao.48.004866

Hybrid silica/polymer long period gratings for wavelength filtering and power distribution

2009· article· en· W1964122866 on OpenAlexaff
Jia Jiang, Claire L. Callender, Julian P. Noad, Jianfu Ding

Bibliographic record

VenueApplied Optics · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsNational Research Council CanadaCommunications Research Centre Canada
Fundersnot available
KeywordsOpticsMaterials scienceWavelengthPeriod (music)PolymerPower (physics)Diffraction gratingDiffraction efficiencyRefractive indexOptoelectronicsGratingPhysics

Abstract

fetched live from OpenAlex

We report long period grating (LPG) devices based on a hybrid architecture incorporating photopatternable fluorinated poly(aryl ether ketone) and silica layers for applications in wavelength filtering and power distribution. The grating structure was implemented using a periodic corrugation on a thermally oxidized silica lower cladding layer, a photopatterned fluorinated polymer ridge waveguide, and a similar polymer top cladding. In this design, the corrugated silica layer allows a highly stable grating structure, while the fluorinated polymer offers a low propagation loss and easy processability. Strong rejection bands have been demonstrated in the C+L wavelength band, in good agreement with theoretical calculations. The fabricated LPG devices show a thermal dependence of 1.5 nm/ degrees C. Based on this design, an array of waveguides incorporating LPGs has also been fabricated. Distribution of light at the resonance wavelength across all the channels from a single input has been demonstrated. These results are promising for power distribution in photonic network applications or on-chip 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.

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 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 score0.285
Threshold uncertainty score0.874

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 head0.006
GPT teacher head0.206
Teacher spread0.200 · 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.

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

Citations12
Published2009
Admission routes1
Has abstractyes

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