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Record W2132938496 · doi:10.1109/tmtt.2009.2013318

A Spectral Transmission-Line Method for Computing Band Diagrams and Eigenmodes of Photonic-Bandgap Structures

2009· article· en· W2132938496 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2009
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversity of Manitoba
FundersWestern Economic Diversification Canada
KeywordsPhotonic crystalEigenvalues and eigenvectorsBoundary value problemFrequency domainComputationFourier transformCurse of dimensionalityMatrix (chemical analysis)PhysicsMathematical analysisTopology (electrical circuits)Computer scienceOpticsMathematicsAlgorithmMaterials scienceQuantum mechanics

Abstract

fetched live from OpenAlex

A spectral transmission-line method (TLM) is developed for computing dispersion diagrams and eigenmodes of photonic-bandgap structures. By terminating the unit cell with periodic boundary conditions and allowing complex-valued voltages on the mesh, the system's modes may be found as solutions to an eigenvalue equation describing the system at steady state. A combination of sparse matrix techniques that exploit the spectral properties of the TLM scattering matrices enable efficient calculations despite the dimensionality of the eigenvalue equation. In contrast to conventional applications of the TLM, this formulation does not require selection of arbitrary mesh points to compute band diagrams and produces eigenmodes directly from band structure calculations without requiring a time history of the entire mesh and its Fourier transform, or additional frequency-domain computation.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.584
Threshold uncertainty score0.603

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 head0.011
GPT teacher head0.296
Teacher spread0.284 · 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