Three band absorber design and optimization by neural network algorithm

In this study, multi band absorber design based on signal absorbing metamaterial. After the metamaterial structure has been designed, the split gap is optimized by the neural network algorithm to get optimum absorption. By this way, metamaterial MTM absorber for stealth applications design has been...

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Bibliographic Details
Published in:Journal of physics. Conference series 2020-05, Vol.1530 (1), p.12129
Main Authors: Shawkat, Shihab A., Saeed Lateef Al-badri, Khalid, Al_Barazanchi, Israa
Format: Article
Language:English
Subjects:
Absorbers
Absorbers (materials)
Absorption spectra
Algorithms
Design optimization
Energy harvesting
Hierarchies
Metamaterials
Neural networks
Superhigh frequencies
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Summary:In this study, multi band absorber design based on signal absorbing metamaterial. After the metamaterial structure has been designed, the split gap is optimized by the neural network algorithm to get optimum absorption. By this way, metamaterial MTM absorber for stealth applications design has been created. In the simulation, the MTM signal absorbing was found to have three excellent absorption bands at x-band 8.41 GHz, 9.73 GHz, and 12.1 GHz with absorption level 91.65%, 99.35%, and 96.6% respectively. When the increasing the split gap diminution lead to nonlinear change in absorption level additionally resonance frequency. This proposed structure can be used as a multi band absorber application, stealth applications, and energy harvesting.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1530/1/012129