Evidence map›Paper›PMID 35888479›Full record

ArticleMaterials (Basel, Switzerland)2022

Low-Loss Dual-Band Transparency Metamaterial with Toroidal Dipole.

Tianyu Xiang, Tao Lei, Ting Chen, Zhaoyang Shen, Jing Zhang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Tianyu XiangSchool of Big Data and Computer Science, Guizhou Normal University, Guiyang 550003, China.
Tao LeiSchool of Big Data and Computer Science, Guizhou Normal University, Guiyang 550003, China.
Ting ChenSchool of Big Data and Computer Science, Guizhou Normal University, Guiyang 550003, China.
Zhaoyang ShenHubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang 443005, China.
Jing ZhangSchool of Big Data and Computer Science, Guizhou Normal University, Guiyang 550003, China.

Funding

Guizhou Province Education Department Projects KY[2020] 007National Natural Science Foundation of China 61741104Science and technology Foundation of Guizhou Province ZK[2021]306
6 · The paper itself

Abstract

In this paper, a low-loss toroidal dipole metamaterial composed of four metal split ring resonators is proposed and verified at microwave range. Dual-band Fano resonances could be excited by normal incident electromagnetic waves at 6 GHz and 7.23 GHz. Analysis of the current distribution at the resonance frequency and the scattered power of multipoles shows that both Fano resonances derive from the predominant novel toroidal dipole. The simulation results exhibit that the sensitivity to refractive index of the analyte is 1.56 GHz/RIU and 1.8 GHz/RIU. Meanwhile, the group delay at two Fano peaks can reach to 11.38 ns and 12.85 ns, which means the presented toroidal metamaterial has significant slow light effects. The proposed dual-band toroidal dipole metamaterial may offer a new path for designing ultra-sensitive sensors, filters, modulators, slow light devices, and so on.

Indexed as

low-lossmetamaterialsensingslow lighttoroidal dipole

Identifiers

PMID35888479
PMCPMC9317833

What OpenQuestion holds

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Registered trials

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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.