Evidence map›Paper›PMID 28772951›Full record

ArticleMaterials (Basel, Switzerland)2017

Ultrathin Six-Band Polarization-Insensitive Perfect Metamaterial Absorber Based on a Cross-Cave Patch Resonator for Terahertz Waves.

Yong Zhi Cheng, Mu Lin Huang, Hao Ran Chen, Zhen Zhong Guo, Xue Song Mao, Rong Zhou Gong

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Yong Zhi ChengSchool of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China. chengyz@wust.edu.cn.
Mu Lin HuangSchool of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China. hml_q1@163.com.
Hao Ran ChenSchool of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China. 18627140931@163.com.
Zhen Zhong GuoHubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430081, China. zhongbujueqi@hotmail.com.
Xue Song MaoSchool of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China. xsmao@wust.edu.cn.
Rong Zhou GongSchool of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China. rzhgong@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple design of an ultrathin six-band polarization-insensitive terahertz perfect metamaterial absorber (PMMA), composed of a metal cross-cave patch resonator (CCPR) placed over a ground plane, was proposed and investigated numerically. The numerical simulation results demonstrate that the average absorption peaks are up to 95% at six resonance frequencies. Owing to the ultra-narrow band resonance absorption of the structure, the designed PMMA also exhibits a higher Q factor (>65). In addition, the absorption properties can be kept stable for both normal incident transverse magnetic (TM) and transverse electric (TE) waves. The physical mechanism behind the observed high-level absorption is illustrated by the electric and power loss density distributions. The perfect absorption originates mainly from the higher-order multipolar plasmon resonance of the structure, which differs sharply from most previous studies of PMMAs. Furthermore, the resonance absorption properties of the PMMA can be modified and adjusted easily by varying the geometric parameters of the unit cell.

Indexed as

cave-cross patch resonatorperfect metamaterial absorbersix-bandterahertz

Identifiers

PMID28772951
PMCPMC5553408

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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.