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 refractive index. https://cuttingedgecutleryco.shop/product-category/knife-case/
Shock Properties Characterization of Dielectric Materials Using Millimeter-Wave Interferometry and Convolutional Neural Networks
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