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Record W1963180720 · doi:10.1109/mwsym.1996.512292

Modeling and analysis of guided-wave structures involving both bi-isotropic and bi-anisotropic media

2002· article· en· W1963180720 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsIsotropyScatteringScattering parametersNode (physics)Frequency domainAnisotropyMatrix (chemical analysis)Transmission linePhysicsTransformation matrixClassification of discontinuitiesMicrostripMathematical analysisFinite-difference time-domain methodWave propagationTopology (electrical circuits)OpticsComputer scienceMathematicsMaterials scienceClassical mechanicsAcousticsTelecommunications

Abstract

fetched live from OpenAlex

A new strategy of modeling and analysis with a transmission line matrix (TLM) algorithm is developed to account for the dynamic effects of both bi-isotropic and bi-anisotropic media on propagation and scattering characteristics. First, the symmetrical condensed node in the frequency-domain is generalized to include bi-anisotropic media. The nodal scattering matrix is derived directly from Maxwell's equations using the centered finite difference and the transformation of variable. With the proposed node, a frequency-domain TLM algorithm is then established for the analysis of propagation and scattering of arbitrary waveguiding structures including discontinuities such as chiral-filled rectangular waveguides and microstrip on a bi-isotropic non-reciprocal or chiral substrate. It is shown that the proposed TLM modeling provides a powerful tool for the theoretical study of a new class of complex materials.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.259
Teacher spread0.221 · 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