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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 OpenAlexafffund
Dominic E. Schaub, Derek R. Oliver

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.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
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

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

Citations2
Published2009
Admission routes2
Has abstractyes

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