Evidence map›Paper›PMID 35927331›Full record

ArticleScientific reports2022

An ultra-wideband origami microwave absorber.

Akash Biswas, Constantinos L Zekios, Collin Ynchausti, Larry L Howell, Spencer P Magleby, Stavros V Georgakopoulos

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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.

Akash BiswasDepartment of Electrical and Computer Engineering, Florida International University, Miami, FL, 33174, USA. abisw002@fiu.edu.
Constantinos L ZekiosDepartment of Electrical and Computer Engineering, Florida International University, Miami, FL, 33174, USA.
Collin YnchaustiDepartment of Mechanical Engineering, Brigham Young University, Provo, UT, 84602, USA.
Larry L HowellDepartment of Mechanical Engineering, Brigham Young University, Provo, UT, 84602, USA.
Spencer P MaglebyDepartment of Mechanical Engineering, Brigham Young University, Provo, UT, 84602, USA.
Stavros V GeorgakopoulosDepartment of Electrical and Computer Engineering, Florida International University, Miami, FL, 33174, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microwave absorbers have been used to mitigate signal interference, and to shield electromagnetic systems. Two different types of absorbers have been presented: (a) low-cost narrowband absorbers that are simple to manufacture, and (b) expensive wideband microwave absorbers that are based on complex designs. In fact, as designers try to increase the bandwidth of absorbers, they typically increase their complexity with the introduction of several electromagnetic components (e.g., introduction of multi-layer designs, introduction of multiple electromagnetic resonators, etc.,), thereby increasing their fabrication cost. Therefore, it has been a challenge to design wideband absorbers with low cost of fabrication. To address this challenge, we propose a novel design approach that combines origami math with electromagnetics to develop a simple to manufacture ultra-wideband absorber with minimal fabrication and assembly cost. Specifically, we utilize a Tachi-Miura origami pattern in a honeycomb configuration to create the first absorber that can maintain an absorptivity above 90% in a 24.6:1 bandwidth. To explain the ultra-wideband behavior of our absorber, we develop analytical models based on the transmission-reflection theory of electromagnetic waves through a series of inhomogeneous media. The ultra-wideband performance of our absorber is validated and characterized using simulations and measurements.

Identifiers

PMID35927331
PMCPMC9352738

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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.