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Record W2032205390 · doi:10.1063/1.1944911

Growing evanescent waves in a cutoff rectangular waveguide loaded with an inductive iris and a capacitive post

2005· article· en· W2032205390 on OpenAlexaff
Micah Stickel, George V. Eleftheriades

Bibliographic record

VenueJournal of Applied Physics · 2005
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSuperlensMetamaterialCutoff frequencyOpticsWaveguideCapacitive sensingEvanescent waveCutoffAcousticsPhysicsElectrical impedanceSlabElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

There has been much interest recently in the area of engineered materials with unusual electromagnetic properties known as metamaterials. Of particular interest are those metamaterials that are characterized by a negative refractive index (NRI). The existence of growing evanescent waves is one of the very interesting phenomena that has been observed within such NRI materials. It is the purpose of this paper to investigate the presence of growing evanescent waves within a cutoff rectangular waveguide. It will be shown through theoretical analysis, full-wave simulations, and experimental results that the development of such a wave is not unique to NRI materials. Indeed, it is possible to generate such growing evanescent waves through the simple loading of a cutoff rectangular waveguide with a shunt capacitive post. The further loading of the waveguide with a shunt inductive iris can impedance match the growing evanescent wave to a standard decaying evanescent field, thus producing an evanescent field pattern similar to that observed in a NRI slab in air.

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 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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.250
Teacher spread0.233 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations8
Published2005
Admission routes1
Has abstractyes

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