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Single- and Multi-Stopband Reconfigurable FSS

2024· article· en· W4405262035 on OpenAlexaff
Thayuan Rolim De Sousa, Deisy Formiga Mamedes, Juliete da Silva Souza, Valdemir Praxedes da Silva Neto

Bibliographic record

VenueJournal of Microwaves Optoelectronics and Electromagnetic Applications · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsHerzberg Institute of Astrophysics
Fundersnot available
KeywordsStopbandComputer scienceElectronic engineeringControl theory (sociology)EngineeringArtificial intelligenceBand-pass filter

Abstract

fetched live from OpenAlex

In this work, a reconfigurable frequency-selective surface (FSS) with a very simple biasing network that offers singleor multi-band response is presented. The proposed structure is formed by the V-shaped elements on a single-sided dielectric substrate. A PIN diode is used as active device to make the FSS reconfigurable, and bias lines are inserted for feeding. Initial analysis is performed with passive FSSs to predict the behavior of the proposed reconfigurable structure. The proposed reconfigurable FSS is then designed and evaluated. Three biasing-state configurations are analyzed: off-state, on-state, and intermediate-state. Depending on the state applied to the FSS, it can exhibit single switchable resonance frequency or multi-band response with a Fano resonance.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.522

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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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