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Record W2062441079 · doi:10.1049/iet-map.2014.0800

Reconfigurable planar metamaterial unit cell

2015· article· en· W2062441079 on OpenAlexaff
Behnam Zarghooni, Abdolmehdi Dadgarpour, Tayeb A. Denidni

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsInstitut National de la Recherche ScientifiqueUniversité du Québec à Montréal
Fundersnot available
KeywordsMetamaterialPlanarDiodeMaterials sciencePIN diodeRefractive indexOpticsPermittivityUnit (ring theory)OptoelectronicsElectronic engineeringComputer scienceEngineeringPhysicsDielectricMathematics

Abstract

fetched live from OpenAlex

A new reconfigurable metamaterial unit cell is introduced. DC‐biased controlled PIN diodes are embedded in the structure of this unit cell so that its configuration can be controlled by switching the diodes. The presented unit cell operates in two different modes. In the first mode, which is called the horizontal mode, the unit cell shows an effective permittivity and permeability close to one which leads to a refractive index around 1, whereas at the other mode, which is called vertical configuration, it possesses a double positive behaviour for the constitutive parameters and shows a refractive index of 2. Both modes are simulated using a lumped‐element model for the embedded PIN diodes and the constitutive parameters are extracted using a well‐known algorithm. To validate the results, the unit cell is fabricated and the free‐space method is used to measure the S‐parameters of the unit cell. This unit cell will be used in advanced antenna applications.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.228
Teacher spread0.198 · 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 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

Citations5
Published2015
Admission routes1
Has abstractyes

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