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JOURNALS // Problemy Fiziki, Matematiki i Tekhniki (Problems of Physics, Mathematics and Technics) // Archive

PFMT, 2025 Issue 1(62), Pages 58–63 (Mi pfmt1015)

PHYSICS

Optimization of metamaterial phase manipulator parameters using neural network modeling and genetic algorithm

P. V. Somova, A. L. Samofalova, Yu. V. Nikitjuka, S. A. Khakhomova, I. V. Semchenkob, Dazhi Dingc

a Francisk Skorina Gomel State University
b SSPA “Optics, Optoelectronics and Laser Technology”, Minsk
c Nanjing University of Science and Technology

Abstract: To predict the characteristics of the metamaterial-phase-manipulator, the optimization of the relevant parameters of such a device was carried out using an artificial neural network and a genetic algorithm. It is shown that the relative error in determining the values of the investigated parameters did not exceed 1% compared to the values calculated by the finite element method.

Keywords: metamaterial, phase manipulator, planar spiral, artificial neural networks, genetic algorithms.

UDC: 537.876:621.3.09

Received: 20.01.2025

Language: English

DOI: 10.54341/20778708_2025_1_62_58



© Steklov Math. Inst. of RAS, 2025