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Record W4411376070 · doi:10.1063/5.0251865

A reflective broadband metasurface-based cross-polarization converter (CPC) for Ku and K bands

2025· article· en· W4411376070 on OpenAlexaff
Mahdi Salimitorkamani, Elham Baladi, Mehdi Mehranpour, Hayrettin Odabasi

Bibliographic record

VenueJournal of Applied Physics · 2025
Typearticle
Languageen
FieldMaterials Science
TopicMetamaterials and Metasurfaces Applications
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsBroadbandPolarization (electrochemistry)PhysicsOpticsMaterials scienceKu bandOptoelectronicsChemistry

Abstract

fetched live from OpenAlex

This study presents a broadband cross-polarization conversion metasurface (CPCM) designed for operation in the Ku and K bands. The CPCM unit cell consists of an octagonal ring with two diagonal parasitic arms, which extend within the ring and are thickened with a curvature on the top surface of a substrate, backed by a copper layer. The metasurface efficiently converts a linearly polarized incident electromagnetic (EM) wave into its cross-polarized counterpart over an ultra-wideband frequency range of 13.4–33.6 GHz. The polarization conversion ratio of the proposed structure exceeds 87% at the operating frequencies for normally incident waves and remains above 80% in a Ku band for angles up to 30° for both TE (transverse electric) and TM (transverse magnetic) polarized EM waves. The surface current distribution was thoroughly examined to explain the high-efficiency and ultra-broadband cross-polarization conversion. A good agreement was observed between measured and simulation results, indicating the promising potential of this structure in applications, such as polarization-controlled devices, stealth surfaces, and antennas.

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)0.001
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 score0.102
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.021
GPT teacher head0.305
Teacher spread0.284 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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