Titre:	Asymmetric imaging through engineered Janus particle obscurants using a Monte Carlo approach for highly asymmetric scattering media
Auteur(s):	Mota, Achiles Fontana da Sadaf, Mohammad Mojtaba Mosallaei, Hossein
metadata.dc.identifier.orcid:	https://orcid.org/0000-0003-1221-1801
metadata.dc.contributor.affiliation:	Northeastern University, Department of Electrical and Computer Engineering University of Brasília, Department of Electrical Engineering Northeastern University, Department of Electrical and Computer Engineering Northeastern University, Department of Electrical and Computer Engineering
Assunto::	Nanopartículas Sistemas de reconhecimento de vigilância Traçado de raios de Monte Carlo Teoria do espalhamento
Date de publication:	15-fév-2024
Editeur:	Nature
Référence bibliographique:	MOTA, Achiles F. da; SAFADI, Mohammad Mojtaba; MOSALLAEI, Hossein. Asymmetric imaging through engineered Janus particle obscurants using a Monte Carlo approach for highly asymmetric scattering media. Scientific Reports, [S. l.], v. 14, art. n. 3850, 2024. DOI: https://doi.org/10.1038/s41598-024-54035-7. Disponível em: https://www.nature.com/articles/s41598-024-54035-7. Acesso em: 8 nov. 2024.
Abstract:	The advancement of imaging systems has signifcantly ameliorated various technologies, including Intelligence Surveillance Reconnaissance Systems and Guidance Systems, by enhancing target detection, recognition, identifcation, positioning, and tracking capabilities. These systems can be countered by deploying obscurants like smoke, dust, or fog to hinder visibility and communication. However, these counter-systems afect the visibility of both sides of the cloud. In this sense, this manuscript introduces a new concept of a smoke cloud composed of engineered Janus particles to conceal the target image on one side while providing clear vision from the other. The proposed method exploits the unique scattering properties of Janus particles, which selectively interact with photons from diferent directions to open up the possibility of asymmetric imaging. This approach employs a model that combines a genetic algorithm with Discrete Dipole Approximation to optimize the Janus particles’ geometrical parameters for the desired scattering properties. Moreover, we propose a Monte Carlo-based approach to calculate the image formed as photons pass through the cloud, considering highly asymmetric particles, such as Janus particles. The efectiveness of the cloud in disguising a target is evaluated by calculating the Probability of Detection (PD) and the Probability of Identifcation (PID) based on the constructed image. The optimized Janus particles can produce a cloud where it is possible to identify a target more than 50% of the time from one side (PID> 50%) while the target is not detected more than 50% of the time from the other side (PD< 50%). The results demonstrate that the Janus particle-engineered smoke enables asymmetric imaging with simultaneous concealment from one side and clear visualization from the other. This research opens intriguing possibilities for modern obscurant design and imaging systems through highly asymmetric and inhomogeneous particles besides target detection and identifcation capabilities in challenging environments.
metadata.dc.description.unidade:	Faculdade de Tecnologia (FT) Departamento de Engenharia Elétrica (FT ENE)
Licença::	Open Access Tis 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 licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
DOI:	https://doi.org/10.1038/s41598-024-54035-7
Collection(s) :	Artigos publicados em periódicos e afins

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