Evidence map›Paper›PMID 40044807›Full record

ArticleCommunications engineering2025

3D evolutionarily designed metamaterials for scattering maximization.

Dmitry Dobrykh, Konstantin Grotov, Anna Mikhailovskaya, Dmytro Vovchuk, Vladyslav Tkach, Mykola Khobzei, Anton Kharchevskii, Aviel Glam, Pavel Ginzburg

Abstract read
In one paragraph

Article in Communications engineering, 2025. 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
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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

9 authors.

Dmitry Dobrykh *School of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel. dmitryd@mail.tau.ac.il.ORCID http://orcid.org/0000-0002-7578-233X
Konstantin Grotov *School of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel.
Anna MikhailovskayaSchool of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel.ORCID http://orcid.org/0000-0002-1484-4680
Dmytro VovchukSchool of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel.ORCID http://orcid.org/0000-0001-7108-8984
Vladyslav TkachInstitute of Telecommunications, Riga Technical University, Riga, LV-1048, Latvia.
Mykola KhobzeiInstitute of Telecommunications, Riga Technical University, Riga, LV-1048, Latvia.
Anton KharchevskiiSchool of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel.
Aviel GlamRafael Advanced Defense Systems Ltd., Haifa, Israel.
Pavel GinzburgSchool of Electrical Engineering, Tel Aviv University, Tel Aviv, 69978, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid growth in drone air traffic calls for enhanced radar surveillance systems to ensure reliable detection in challenging conditions. Increasing radar scattering cross-section can greatly improve detection reliability in civilian applications. Here, we introduce a concept of evolutionarily designed metamaterials in the form of multilayer stacks of arrays, featuring strongly coupled electric and magnetic resonators. These structures demonstrate a broadband end-fire scattering cross-section exceeding 1 m² at 10 GHz and, despite their compact footprint, achieve over 10% fractional bandwidth, meeting essential radar requirements for high-range resolution. While scattering cross-section and bandwidth are typically contradictory in resonant structures, this trend is circumvented by applying the resonance cascading principle, wherein a series of closely spaced, spectrally aligned resonant multipoles create a coherent response. The resonance cascading is engineered with the aid of multi-objective optimization, implemented on top of a genetic algorithm, operating in a large search space, encompassing over 100 independent variables. Experimentally realized parameters match typical scattering cross-sections of large airborne targets. Consequently, these performance characteristics enable the exploration of highly scattering structures as identifiers for small airborne targets, supporting effective radar-based air traffic monitoring in civilian applications, which we demonstrate through outdoor experiments using the DJI Mini 2 drone.

Identifiers

PMID40044807
PMCPMC11882990

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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.