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Record W4416925956 · doi:10.1109/lemcpa.2025.3639284

A SSPP-Integrated Defected Ground Structure With Low EMI

2025· article· W4416925956 on OpenAlexaff
Xingrui Luo, Kai Yang, Lin Li, Haiwen Liu

Bibliographic record

VenueIEEE Letters on Electromagnetic Compatibility Practice and Applications · 2025
Typearticle
Language
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsEMIMicrowaveGround planeEmbeddingLimit (mathematics)Electronic circuitScalabilityIntegrated circuitInsertion loss

Abstract

fetched live from OpenAlex

Conventional defected ground structures (DGSs) suffer from strong crosstalk and radiation, which limit their use in compact and highly integrated microwave circuits. To address this, this paper presents a spoof surface plasmon polariton-integrated defected ground structure (SSPPI-DGS). By embedding periodic SSPP units into the ground plane, the proposed design exhibits enhanced slow-wave characteristics and strong field confinement, as confirmed through dispersion analysis. Simulated and measured results further validate that the SSPPI-DGS achieves significant suppression of both near-end and far-end crosstalk, with reductions of up to 6 – 7 dB at fundamental frequencies, while simultaneously lowering radiation loss and insertion loss compared with conventional DGSs. In addition, the proposed unit cell occupies a smaller footprint, enabling improved integration density. These findings highlight the SSPPI-DGS as a practical and scalable solution for future low-EMI, high-integration microwave circuits and system-on-package applications.

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 head0.004
GPT teacher head0.219
Teacher spread0.215 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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