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Record W2339480868 · doi:10.1109/tap.2016.2555338

Design of an Optically Transparent Reflectarray for Solar Applications Using Indium Tin Oxide

2016· article· en· W2339480868 on OpenAlexafffund
Catherine Kocia, Sean V. Hum

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2016
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Toronto
FundersCanadian Space Agency
KeywordsMaterials scienceConductorIndium tin oxideOptoelectronicsPlanarElectrical conductorOpticsTransparent conducting filmIndiumComputer scienceLayer (electronics)NanotechnologyPhysicsComposite material

Abstract

fetched live from OpenAlex

Optically transparent planar antennas made of transparent conductive oxide (TCO) have attracted considerable attention in research over the years, particularly for solar panel applications. However, their design has proved difficult due to their inherent conductor losses. This paper focuses on the design of an optically transparent reflectarray using indium tin oxide, which is a type of TCO. The design is composed of subwavelength rectangular patch elements that exhibit 272° of phase range and mitigate conductor losses in reflectarray operation. This paper examines the behavior and response of lossy reflectarray unit cells and investigates different techniques to reduce the impact of loss in TCO reflectarray designs, primarily using different patch geometries and subwavelength elements. The proposed element design is simulated and experimentally characterized. A full reflectarray prototype operating at 26 GHz is successfully demonstrated and fabricated, with the simulated and experimental results in good agreement.

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 head0.051
GPT teacher head0.281
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 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

Citations92
Published2016
Admission routes2
Has abstractyes

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