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Record W2038529464 · doi:10.1109/lawp.2014.2333752

A Circuit Model for the Design of Self-Excited EBG Resonator Antennas With Miniaturized Unit Cells

2014· article· en· W2038529464 on OpenAlexaff
Mehdi Hosseini, David M. Klymyshyn, Garth Wells

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCanadian Light Source (Canada)University of Saskatchewan
Fundersnot available
KeywordsCapacitanceResonatorOptoelectronicsMaterials scienceEquivalent circuitElectronic engineeringPhysicsElectrical engineeringEngineeringElectrode

Abstract

fetched live from OpenAlex

A circuit model based on Bloch theory is introduced to simplify analysis and design of antennas composed of thick metal electromagnetic band-gap (EBG) cells with large intercell coupling capacitance. The cells are composed of thick metal patches periodically deployed on a metal-backed dielectric slab. Two versions of cells are presented that provide large intercell capacitance, one with narrow high aspect ratio (HAR) gaps between cells and the other with interdigitated gaps between cells. This large capacitance reduces the antenna resonance and dramatically miniaturizes the EBG cells. Three cascaded unit cells are used to demonstrate the applicability of the circuit model to characterize the recently introduced self-excited EBG resonator antenna. Full-wave numerical analysis and experimentation validate the robustness and accuracy of the model over large variations in electrical/physical cell dimensions.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score0.641

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 head0.022
GPT teacher head0.210
Teacher spread0.188 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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