Shock Properties Characterization of Dielectric Materials Using Millimeter-Wave Interferometry and Convolutional Neural Networks

In this paper, a neural network approach is applied for solving an electromagnetic inverse problem involving solid dielectric materials subjected to shock impacts and interrogated by a millimeter-wave interferometer. Under mechanical impact, a shock wave is generated in the material and modifies the...

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Detalles Bibliográficos
Autores principales: Mapas, Jérémi, Lefrançois, Alexandre, Aubert, Hervé, Comte, Sacha, Barbarin, Yohan, Lavayssière, Maylis, Rougier, Benoit, Dore, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221164/
https://www.ncbi.nlm.nih.gov/pubmed/37430750
http://dx.doi.org/10.3390/s23104835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221164/
https://www.ncbi.nlm.nih.gov/pubmed/37430750
http://dx.doi.org/10.3390/s23104835

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