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Record W4403826654 · doi:10.1109/jsen.2024.3484585

A Planar Compact Absorber for Microwave Sensing Based on Transmission-Line Metamaterials

2024· article· en· W4403826654 on OpenAlexafffund
Nazli Kazemi, Mohammad Abdolrazzaghi, Petr Musı́lek, Elham Baladi

Bibliographic record

VenueIEEE Sensors Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicIndoor and Outdoor Localization Technologies
Canadian institutionsUniversity of AlbertaCanada Research ChairsUniversity of TorontoPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMetamaterialPlanarMicrowaveElectric power transmissionTransmission lineMicrowave transmissionMaterials scienceOptoelectronicsTransmission (telecommunications)Metamaterial absorberLine (geometry)Split-ring resonatorMetamaterial antennaOpticsAcousticsTunable metamaterialsElectrical engineeringPhysicsComputer scienceTelecommunicationsEngineeringMicrostrip antennaSlot antenna

Abstract

fetched live from OpenAlex

This work introduces a novel microwave sensor leveraging a perfect metamaterial absorber (PMA) based on transmission-line metamaterials, marking a significant step toward enhancing sensing capabilities. Unique design choices, including the integration of lumped inductors and series capacitors within the unit cell to synthesize a negative and near-zero permittivity, elevate the sensor’s resolution and lower the absorption frequency. These modifications enhance sensitivity and precision for detecting small material quantities, with the sensor achieving an absorption efficiency exceeding 98%. The design also ensures robust performance against changes in incident angles and polarization due to its compact profile, rendering it versatile for diverse sensing applications. Experimental validation confirms the sensor’s performance, highlighting its efficacy in material detection with a notable frequency shift sensitivity of 500 MHz for permittivity changes from 3 to 18, establishing it as a transformative structure for metamaterial-based microwave sensing technologies. Furthermore, the sensor demonstrates a resolution of 5.01 MHz per percentage increase in soil moisture content, offering a new benchmark in the precision of environmental sensing. This breakthrough in design and functionality establishes the sensor as a pivotal tool in the advancement of metamaterial-based microwave sensing technologies, promising widespread applicability, and impact.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.651

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 communication0.0000.000
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 head0.022
GPT teacher head0.259
Teacher spread0.238 · 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 designSimulation or modeling
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

Citations19
Published2024
Admission routes2
Has abstractyes

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