Negative Index Metamaterial Lens for Subwavelength Microwave Detection.

Srijan Datta, Saptarshi Mukherjee, Xiaodong Shi, Mahmood Haq, Yiming Deng, Lalita Udpa, Edward Rothwell

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Gradient Index Metasurface Lens for Microwave Imaging.Sensors (Basel, Switzerland) · 2022
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.

Srijan DattaDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0002-1419-7321

Saptarshi MukherjeeLawrence Livermore National Laboratory, Livermore, CA 94550, USA.

Xiaodong ShiDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.

Mahmood HaqDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.

Yiming DengDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.

Lalita UdpaDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.

Edward RothwellDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-5909-6359

Funding

National Science Foundation 1762331

6 · The paper itself

Abstract

Metamaterials are engineered periodic structures designed to have unique properties not encountered in naturally occurring materials. One such unusual property of metamaterials is the ability to exhibit negative refractive index over a prescribed range of frequencies. A lens made of negative refractive index metamaterials can achieve resolution beyond the diffraction limit. This paper presents the design of a metamaterial lens and its use in far-field microwave imaging for subwavelength defect detection in nondestructive evaluation (NDE). Theoretical formulation and numerical studies of the metamaterial lens design are presented followed by experimental demonstration and characterization of metamaterial behavior. Finally, a microwave homodyne receiver-based system is used in conjunction with the metamaterial lens to develop a far-field microwave NDE sensor system. A subwavelength focal spot of size 0.82λ was obtained. The system is shown to be sensitive to a defect of size 0.17λ × 0.06λ in a Teflon sample. Consecutive positions of the defect with a separation of 0.23λ was resolvable using the proposed system.

Indexed as

lensesmetamaterialmicrowave sensorsnondestructive testingrefractive index

Identifiers

PMID34300520

DOI10.3390/s21144782

PMCPMC8309723

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LicenceCC BY

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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.