دورية أكاديمية
Design of acoustic absorbing metasurfaces using a data-driven approach
| العنوان: | Design of acoustic absorbing metasurfaces using a data-driven approach |
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| المؤلفون: | Hamza Baali, Mahmoud Addouche, Abdesselam Bouzerdoum, Abdelkrim Khelif |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Engineering, Materials engineering, Mechanical engineering, Information and computing sciences, Data management and data science, Machine learning, Metamaterials, Electromagnetic wave propagation, Acoustic wave propagation, Locally resonant structures (LRS), Metasurfaces, Sound absorption, Acoustic cloaking, Complete sound reflection, Complete sound transmission, Wavefront tailoring, Finite Element methods (FEM), Finite-difference time-domain (FDTD) methods, Genetic algorithms, Neural network architectures, Gradient-based optimization, Backpropagation algorithm, Mean squared error (MSE) loss, Levenberg-Marquardt algorithm, Two-Microphone transfer function method, Reflection factor, Dynamic signal acquisition module |
| الوصف: | The design of acoustic metasurfaces with desirable properties is challenging due to their artificial nature and the large space of physical and geometrical parameters. Until recently, design strategies were primarily based on numerical simulations based on finite-element or finite-difference time-domain methods, which are limited in terms of computational speed or complexity. Here, we present an efficient two-stage data-driven approach for analyzing and designing membrane-type metasurface absorbers with desirable characteristics. In the first stage, a forward model consisting of a neural network is trained to map an input, comprising the membrane parameters, to the observed sound absorption spectrum. In the second stage, the learned forward model is inverted to infer the input parameters that produce the desired absorption response. The metasurface membrane parameters, which serve as input to the neural network, are estimated by minimizing a loss function between the desired absorption profile and the output of the learned forward model. Two devices are then fabricated using the estimated membrane parameters. The measured acoustic absorption responses of the fabricated devices show a very close agreement with the desired responses. Other Information Published in: Communications Materials License: https://creativecommons.org/licenses/by/4.0Test See article on publisher's website: https://dx.doi.org/10.1038/s43246-023-00369-0Test |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| العلاقة: | https://figshare.com/articles/journal_contribution/Design_of_acoustic_absorbing_metasurfaces_using_a_data-driven_approach/25139693Test |
| DOI: | 10.1038/s43246-023-00369-0 |
| الإتاحة: | https://doi.org/10.1038/s43246-023-00369-0Test https://figshare.com/articles/journal_contribution/Design_of_acoustic_absorbing_metasurfaces_using_a_data-driven_approach/25139693Test |
| حقوق: | CC BY 4.0 |
| رقم الانضمام: | edsbas.674FFEFE |
| قاعدة البيانات: | BASE |
| DOI: | 10.1038/s43246-023-00369-0 |
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