ArticleScientific reports2022
Design of ultra-thin underwater acoustic metasurface for broadband low-frequency diffuse reflection by deep neural networks.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Development of Energy-Selective Surface for Electromagnetic Protection.Micromachines · 2025Review
- Model analysis and experiment study for effects of thermal viscous and fluid flow on ventilated acoustic metamaterials labyrinth.Scientific reports · 2024Article
- A comprehensive review of metasurface-assisted direction-of-arrival estimation.Nanophotonics (Berlin, Germany) · 2024Review
- Deep Learning-Based Design Method for Acoustic Metasurface Dual-Feature Fusion.Materials (Basel, Switzerland) · 2024Article
- Research on local sound field intensity control technique in metasurface based on deep neural networks.PloS one · 2024Article
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6 authors.
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Abstract
Underwater acoustic metasurfaces have broad application prospects for the stealth of underwater objects. However, problems such as a narrow operating frequency band, poor operating performance, and considerable thickness at low frequencies remain. In this study a reverse design method for ultra-thin underwater acoustic metasurfaces for low-frequency broadband is proposed using a tandem fully connected deep neural network. The tandem neural network consists of a pre-trained forward neural network and a reverse neural network, based on which a set of elements with flat phase variation and an almost equal phase shift interval in the range of 700-1150 Hz is designed. A diffuse underwater acoustic metasurface with 60 elements was designed, showing that the energy loss of the metasurface in the echo direction was greater than 10 dB. Our work opens a novel pathway for realising low-frequency wideband underwater acoustic devices, which will enable various applications in the future.
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