Evidence map›Paper›PMID 37763850›Full record

ArticleMicromachines2023

Ultra-Compact Low-Pass Spoof Surface Plasmon Polariton Filter Based on Interdigital Structure.

Zhou-Hao Gao, Xin-Shuo Li, Man Mao, Chen Sun, Feng-Xue Liu, Le Zhang, Lei Zhao

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhou-Hao GaoJSNU SPBPU Institute of Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Xin-Shuo LiJSNU SPBPU Institute of Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Man MaoSchool of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Chen SunSchool of Computer Science and Technology, Jiangsu Normal University, Xuzhou 221116, China.
Feng-Xue LiuSchool of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China.ORCID 0000-0002-9421-7635
Le ZhangSchool of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou 221116, China.
Lei ZhaoSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.

Funding

Jiangsu College and University Natural Science Research Project 21KJB510030National Natural Science Foundation of China 52202135Natural Science Foundation of Jiangsu Province BK20221226
6 · The paper itself

Abstract

An ultra-compact low-pass spoof surface plasmon polariton (SSPP) filter based on an interdigital structure (IS) is designed. Simulated dispersion curves show that adding the interdigital structure in an SSPP unit effectively reduces its asymptotic frequency compared with traditional and T-shaped SSPP geometries, and the unit dimensions can be conversely reduced. Based on that, three IS-based SSPP units are, respectively, designed with different maximum intrinsic frequencies and similar asymptotic frequencies to constitute the matching and waveguide sections of the proposed filter, and the unit number in the waveguide section is adjusted to improve the out-of-band suppression. Simulation results illustrate the efficient transmission in the 0~5.66 GHz passband, excellent out-of-band suppression (over 24 dB) in the 5.95~12 GHz stopband and ultra-shape roll-off at 5.74 GHz of the proposed filter. Measurement results on a fabricated prototype validate the design, with a measured cut-off frequency of 5.53 GHz and an ultra-compact geometry of 0.5 × 0.16

Indexed as

interdigital structurelow-pass filterspoof surface plasmon polaritonultra-compact filter

Identifiers

PMID37763850
PMCPMC10537764

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.