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dc.contributor.authorMikhailovskaya, A
dc.contributor.authorVovchuk, D
dc.contributor.authorGrotov, K
dc.contributor.authorKolchanov, DS
dc.contributor.authorDobrykh, D
dc.contributor.authorLadutenko, K
dc.contributor.authorBobrovs, V
dc.contributor.authorPowell, A
dc.contributor.authorBelov, P
dc.contributor.authorGinzburg, P
dc.date.accessioned2023-11-06T11:11:39Z
dc.date.issued2023-10-24
dc.date.updated2023-11-03T16:54:47Z
dc.description.abstractCreeping waves traveling around a volumetric electromagnetic scatterer provide a significant contribution to its radar cross-section. While quite a few efforts were devoted to suppressing creeping waves as a part of radar countermeasures, here we utilize specially engineered creeping waves to our advantage to create broadband, all-angle, and polarization scatterers. Metalized spherical surfaces, patterned with corona virus-like spikes are designed to provide a broadband constructive interference between the specular reflection and creeping waves, elevating the scattering cross-section. The demonstrated miniature corona scatterers utilize both resonant cascading phenomena and traveling wave interference to tailor electromagnetic interactions, outperforming a resonant dipole in terms of amplitude and bandwidth quite significantly. Our experimental samples are fabricated with an additive manufacturing technique, where a 3D-printed plastic skeleton is subsequently metalized. Micron-thick layers allow governing electromagnetic interactions as if the entire object was made of solid metal. Lightweight, all-angle, all-polarization, and broadband compact scatterers such as these, reported here, have numerous applications, including radar deception, electromagnetic beckoning, and many others.en_GB
dc.description.sponsorshipDepartment of the Navy, Office of Naval Research Globalen_GB
dc.description.sponsorshipRRF project Latvian Quantum Technologies Initiativeen_GB
dc.description.sponsorshipRoyal Academy of Engineeringen_GB
dc.identifier.citationVol. 2, article 76en_GB
dc.identifier.doihttps://doi.org/10.1038/s44172-023-00116-w
dc.identifier.grantnumberN62909-21-1-2038en_GB
dc.identifier.grantnumber2.3.1.1.i.0/1/22/I/CFLA/001en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134434
dc.identifierORCID: 0000-0001-6357-5408 (Powell, Alexander)
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://zenodo.org/record/6962448#.ZA8jvS8w2Lcen_GB
dc.rights© The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.titleCoronavirus-like all-angle all-polarization broadband scattereren_GB
dc.typeArticleen_GB
dc.date.available2023-11-06T11:11:39Z
exeter.article-number76
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this recorden_GB
dc.descriptionData availability: All data generated or analyzed during this study are included in this published article. The modeling script is available online: https://zenodo.org/record/6962448#.ZA8jvS8w2Lcen_GB
dc.identifier.eissn2731-3395
dc.identifier.journalCommunications Engineeringen_GB
dc.relation.ispartofCommunications Engineering, 2(1)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-09-05
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-10-24
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-11-06T11:08:20Z
refterms.versionFCDVoR
refterms.dateFOA2023-11-06T11:11:43Z
refterms.panelBen_GB
refterms.dateFirstOnline2023-10-24


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© The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.