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Record W3090510565 · doi:10.1109/tap.2020.3026901

Dual-Band Reflective Metagratings With Interleaved Meta-Wires

2020· article· en· W3090510565 on OpenAlexaff
Gengyu Xu, Sean V. Hum, George V. Eleftheriades

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMulti-band deviceTopology (electrical circuits)MicrostripMetamaterialInterleavingShielded cableCoupling (piping)MicrowaveReflection (computer programming)Computer sciencePhysicsOpticsElectronic engineeringElectrical engineeringMaterials scienceTelecommunicationsAntenna (radio)Engineering

Abstract

fetched live from OpenAlex

We propose a new topology for printed circuit board metagratings (MGs) for manipulation of electromagnetic waves at microwave frequencies. By interleaving two single-band segmented gratings (SGs), a composite device capable of performing dual-band operation is realized. The constituent SGs are designed independently, meaning the two operating frequencies need not be harmonically related. The SGs are shielded from one another through inclusion of via fences which suppress near-field coupling. They are each engineered to be inactive within the other's operating band, which helps retain their individually encoded functionalities. Using the proposed topology, a dual-band MG that performs perfect anomalous reflection of plane waves at 10 and 15.11 GHz is designed. The device is verified both numerically and experimentally.

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 score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.034
GPT teacher head0.234
Teacher spread0.200 · 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

Citations36
Published2020
Admission routes1
Has abstractyes

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