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Record W2160219322 · doi:10.1109/jlt.2004.824454

Wave Equation-Based Semivectorial Compact 2-D-FDTD Method for Optical Waveguide Modal Analysis

2004· article· en· W2160219322 on OpenAlex

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 · 2004
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFinite-difference time-domain methodPerfectly matched layerBoundary value problemWaveguideFinite difference methodSolverMaxwell's equationsPhysicsModal analysisModalOpticsWave equationMathematical analysisMathematicsAcousticsMaterials scienceMathematical optimization

Abstract

fetched live from OpenAlex

A wave equation-based semivectorial compact 2-D finite-difference time-domain (2-D-FDTD) method is developed and validated for optical waveguide modal analysis. This approach is a combination of the Maxwell's equation-based compact 2-D-FDTD and the wave equation-based semivectorial FDTD methods. Perfectly matched layer (PML) absorbing boundary condition (ABC) is also extended to this approach. Excellent accuracy is achieved for the entire spectrum even in the region near the cutoff. Through extensive study on the excitation conditions, it indicates that this method, when used as an explicit optical mode solver, is extremely robust.

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)0.001
metaresearch head score (Gemma)0.001
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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.489
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.023
GPT teacher head0.310
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