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Optically Transparent Reflectarray Based on Integrated Ferroelectric Devices for Real-Time Phase Control

2025· article· W4417132802 on OpenAlexaff
H. Das, David F. Hardy, Navjot K. Khaira, R. Niall Tait, Morris Repeta, Tejinder Singh, Shulabh Gupta

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCanadian Thoracic SocietyCarleton University
Fundersnot available
KeywordsVaricapCapacitanceDielectricDiodeGround planeFerroelectricitySubstrate (aquarium)

Abstract

fetched live from OpenAlex

A novel optically transparent active reflectarray metasurface is proposed in the 5G mmWave band of 28 GHz based on specially designed varactor diodes using barium strontium titanate (BST) thin films for phase control applications. By varying the voltage bias of the BST thin film, the dielectric constant and hence capacitance can be changed thus allowing phase response manipulation. Simultaneously, the proposed design consists of a perforated honeycomb mesh as a ground plane on a fused silica substrate for achieving a high degree of optical transparency. This paper shows the potential for ferroelectric materials to be used as varactor diodes for beamsteering metasurface applications in the 5G mmWave regime using full-wave simulations.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.312
Teacher spread0.292 · 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.

Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2025
Admission routes1
Has abstractyes

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