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Record W4410294908 · doi:10.1109/ojap.2025.3569162

Low Profile Enhanced Bandwidth Optically Transparent and Semi-Transparent Meshed Patch Antennas for Integration With Solar Cells

2025· article· en· W4410294908 on OpenAlexafffund
Shirin Ramezanzadehyazdi, Dustin Isleifson, Philip Ferguson, L. Shafai, Cyrus Shafai

Bibliographic record

VenueIEEE Open Journal of Antennas and Propagation · 2025
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceOptoelectronicsBandwidth (computing)Computer scienceTelecommunications

Abstract

fetched live from OpenAlex

This paper presents three novel low-profile optically transparent meshed patch antennas with enhanced bandwidth that can be fully integrated into a solar cell. The bandwidth enhancement was achieved by applying a stacking technique to two square meshed patches with close resonance frequencies. The first antenna used fused silica glass substrates for both lower and upper dielectric layers to maintain transparency and high integrability with the solar cells. The antenna resonated at 2.43 GHz and exhibited an impedance bandwidth of 6.2% and a peak gain of 6.5 dBi. In the second design, a polymer layer replaced the upper glass substrate and was partially removed to reduce the antenna mass. 65% mass reduction was achieved at the expense of lower efficiency. To further reduce the mass, the polymer layer was perforated. The perforated design resulted in a lightweight stacked meshed patch antenna with a normal transparency of 94%, which can be placed directly on top of the solar cells without affecting the cell performance.

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: none
Teacher disagreement score0.896
Threshold uncertainty score0.594

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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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 routes2
Has abstractyes

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