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Record W2128133256 · doi:10.1109/tmtt.2004.839944

Negative refraction and focusing in hyperbolic transmission-line periodic grids

2005· article· en· W2128133256 on OpenAlexaff
George V. Eleftheriades, Omar Siddiqui

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPlanarNegative refractionOpticsResonance (particle physics)GridPhysicsTransmission lineRefractionInterfacingMicrostripElectric power transmissionWavelengthDispersion (optics)MetamaterialTopology (electrical circuits)Computer scienceGeometryMathematicsTelecommunicationsEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

We propose a class of anisotropic periodic structures with spatial hyperbolic dispersion characteristics, synthesized by arranging unloaded transmission lines (TLs) in a two-dimensional planar grid. These planar periodic grids support the formation of sharp beams, called resonance cones. Analogous resonance-cone effects are observed in highly anisotropic resonant plasmas. By interfacing transposed versions of these anisotropic periodic grids, negative refraction and focusing of resonance cones can be achieved. Simulation results are presented for ideal TL grids and are verified experimentally using planar microstrip grids. These grids are easy to fabricate at a low cost. Moreover, since the TLs are unloaded and the periodicity is comparable to the wavelength, the structures are scalable from microwave to millimeter-wave frequencies and could be utilized for spatial filtering, multiplexing, and demultiplexing.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.000
Threshold uncertainty score0.001

Distilled classifier scores by category (both heads)

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 head0.010
GPT teacher head0.242
Teacher spread0.232 · 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
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

Citations52
Published2005
Admission routes1
Has abstractyes

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