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Record W2169405799 · doi:10.1109/jlt.2007.903826

High-Order Finite-Element Methods for the Computation of Bending Loss in Optical Waveguides

2007· article· en· W2169405799 on OpenAlexaff
Rym Jedidi, Roger Pierre

Bibliographic record

VenueJournal of Lightwave Technology · 2007
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFinite element methodIntegrated opticsOpticsComputationBendingMaterials sciencePhysicsEngineeringComputer scienceStructural engineeringComposite material

Abstract

fetched live from OpenAlex

The purpose of this paper is to develop high-order vectorial finite-element methods to characterize the bending loss in optical waveguides. In order to avoid the use of approximate models based on equivalent refraction index or conformal mapping, the fully vectorial Maxwell system is expressed in a general orthogonal coordinate system. Boundary reflections are circumvented by a proper adaptation of the perfectly matched layer technique. Application to bent rib optical waveguides in cylindrical coordinates and bent circular fiber in toroidal coordinates is presented. In the latter case, a suitable family of quadrangular finite elements has been developed and was shown to give interesting results, both in that situation and in the Cartesian coordinate situation.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.359
Teacher spread0.340 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations16
Published2007
Admission routes1
Has abstractyes

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