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Application of machine learning technology to optimize the structure of two-dimensional metamaterials based on the spectrum of natural frequencies.

Application of machine learning technology to optimize the structure of two-dimensional metamaterials based on the spectrum of natural frequencies.

Authors :
Semenov, N. S.
Mazo, M. A.
Vershinin, A. V.
Yakovlev, M. Ya.
Source :
AIP Conference Proceedings. 9/14/2022, Vol. 2533 Issue 1, p1-5. 5p.
Publication Year :
2022

Abstract

A technique based on a neural network was developed, which has shown a high efficiency of searching for the best structure of meta-atoms for modular design of acoustic metamaterials on the model system. A neural network with a three-layer structure required less than 1% of computational time in comparison with a direct numerical analysis of all possible variants of metamaterials in order to find a metamaterial with the required acoustic properties. The calculations were carried out using finite element method and CAE Fidesys software. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2533
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
159105283
Full Text :
https://doi.org/10.1063/5.0102021