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Record W4414408036 · doi:10.1002/mop.70385

Design and Characterization of MSAP‐Fabricated Sub‐THz Frequency Selective Surface by Bench‐Top Optoelectronic Measurement System

2025· article· en· W4414408036 on OpenAlexaff
Keigan MacDonell, Takashi Tomura, Shulabh Gupta

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCarleton University
FundersNational Institute of Information and Communications TechnologyMinistry of Internal Affairs and CommunicationsHoso Bunka Foundation
KeywordsSystem of measurementHeterodyne (poetry)MicrowaveSpectrum analyzerWirelessAttenuationNetwork analyzer (electrical)Characterization (materials science)Transmission (telecommunications)

Abstract

fetched live from OpenAlex

ABSTRACT A low‐cost and compact benchtop using the off‐the‐shelf optoelectronic (OE) measurement system is presented which is built to measure the performance of a 160 GHz frequency selective surface (FSS). The system uses an optical heterodyne source to excite wireless signals through the ‐D‐band (110–170 GHz), and transmission magnitude is measured using a frequency‐extended power spectrum analyzer (PSA). The system is shown to perform well towards characterizing an FSS structure fabricated using a modified semi‐additive process (MSAP), with the magnitude shown to agree well with both full‐wave simulation of the array and measurements taken using a conventional microwave measurement setup. While the noise floor of the measurement system limits the ability to characterize FSS attenuation below –16 dB, the reduction in transmitted power at the design frequency is clearly captured. The OE measurement system represents an approach to analyzing sub‐THz frequency wireless devices that will play an essential role in the development and adoption of next‐generation wireless communications.

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 score0.326
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
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.188
Teacher spread0.182 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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