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Record W4399938981 · doi:10.1109/lawp.2024.3418195

Four-Mode Switchable Frequency-Selective Surface Featuring Wideband and Angular Stability

2024· article· en· W4399938981 on OpenAlexaff
Zhefei Wang, Jiajun Huang, Fayu Wan, Jiahui Fu, Qun Wu, Mingxin Song, Lixin Ran, Tayeb A. Denidni

Bibliographic record

VenueIEEE Antennas and Wireless Propagation Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsInstitut National de la Recherche Scientifique
FundersChina Postdoctoral Science Foundation
KeywordsMode (computer interface)Stability (learning theory)Tunable metamaterialsMaterials scienceSurface (topology)AcousticsOptoelectronicsPhysicsComputer scienceMathematicsGeometry

Abstract

fetched live from OpenAlex

This letter proposes a switchable frequency-selective surface with wide-band and angle-stable characteristics, which could independently manipulate the TE and TM incidences through four modes. Distributed compensation capacitors are designed to solve the problems of unequal impedances and inconsistent responses under different polarizations caused by the asymmetric structure. It also helps improve the miniaturization and oblique-incident performances of this work. Additionally, the transmission responses and field distributions of each layer are studied to verify the proposed principle. The operating mechanism under different waves is also analyzed through two equivalent-circuit models. The results show that the design achieves stable transmission and shielding behaviors from 0° to 55° incidences. In the transmission state, a passband of 32.9% is realized with a minimum insertion loss of 0.15 dB, while the shielding performance can be observed from low frequencies to 10 GHz. Finally, a prototype is fabricated, and reasonable measurement results are obtained.

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 score0.156
Threshold uncertainty score0.848

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 communication0.0000.001
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 head0.013
GPT teacher head0.221
Teacher spread0.208 · 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

Citations8
Published2024
Admission routes1
Has abstractyes

Explore more

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