Open AccessThree band absorber design and optimization by neural network algorithm
Author(s) -
Shihab A. Shawkat,
Khalid Saeed Lateef Al-Badri,
Israa Al_Barazanchi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1530/1/012129
Subject(s) - metamaterial , absorption (acoustics) , metamaterial absorber , band gap , artificial neural network , materials science , signal (programming language) , frequency band , absorption band , optoelectronics , multi band , computer science , nonlinear system , electronic engineering , optics , tunable metamaterials , telecommunications , physics , engineering , bandwidth (computing) , artificial intelligence , quantum mechanics , antenna (radio) , composite material , programming language
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.