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Record W2164359719 · doi:10.1002/pssc.200881298

Thermal tuning of planar Bragg gratings in silicon‐on‐insulator rib waveguides

2009· article· en· W2164359719 on OpenAlexaff
Shabnam Homampour, M. P. Bulk, P. E. Jessop, Andrew P. Knights

Bibliographic record

VenuePhysica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics · 2009
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSilicon on insulatorMaterials sciencePlanarWaveguideGratingFiber Bragg gratingOpticsWaferFabricationSiliconOptoelectronicsSilicon photonicsPhotonicsRefractive indexWavelengthPhysics

Abstract

fetched live from OpenAlex

Abstract The Bragg grating forms an essential element in optical telecommunication and sensing applications. In the case of integrated optics, it is necessary to incorporate the grating into a waveguide during device fabrication. Specifically for silicon photonics this process is deemed necessary to be compatible with standard processing technology. We have recently developed a method for the fabrication of Bragg gratings via self‐ion implantation of silicon‐on‐insulator (SOI) waveguides, such that the surface of the waveguide remains planar. This has significant benefits for a number of devices especially those requiring subsequent wafer bonding. Here we report work that shows the ability of these devices to be thermally tuned. As the waveguides are heated, a positive shift in the resonant wavelength is induced due to the temperature dependence of the index of refraction and thermal expansion of the silicon. The observed shift is 0.080 nm/degree, in good agreement with theoretical prediction. (© 2009 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.324
Teacher spread0.287 · 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.

Study designTheoretical or conceptual
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

Citations23
Published2009
Admission routes1
Has abstractyes

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