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Fully Embedded Microstrip Filtering Crossover Using 2D MTM-EBGs

2024· article· en· W4401722151 on OpenAlexaff
S. Clark, Braden P. Smyth, Ashwin K. Iyer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCrossoverMicrostrip3d printedMaterials scienceComputer scienceElectronic engineeringEngineering drawingEngineeringBiomedical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The metamaterial-based electromagnetic bandgap (MTM-EBG) structure is a fully planar, periodically loaded multiconductor transmission line (MTL) structure. The periodic loading allows a forward propagating microstrip-like mode and a backward propagating coplanar waveguide-like mode to couple power contradirectionally. This contradirectional coupling gives rise to the structure's bandgap (S. Barth et al., “A Miniaturized Uniplanar Metamaterial-Based EBG for Parallel-Plate Mode Suppression,” IEEE Transactions on Microwave Theory and Techniques, Vol. 64, No.4, 1176–1185, April 2016). The size and location of the bandgap can be controlled by varying the reactive loading and/ or host-MTL properties of the MTM-EBG unit cells. The MTM-EBG has been extended to two dimensions in order to model the uniplanar compact EBG (UC-EBG) (S. Barth et al., “The MTM-EBG as a Rigorous Multiconductor Model of the UC-EBG and Approaches for Miniaturization,” IEEE Transactions on Antennas and Propagation, Vol. 70, No.4, 2822–2831, April 2022). Similar to the 1D MTM-EBG, the 2D MTM-EBG exhibits a bandgap at certain frequencies but unlike the 1D MTM-EBG, it can possess different bandgaps for different directions of propagation, as determined by the reactive loading and/ or host MTL properties of the unit cells.

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 score0.004

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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