Tunable, reconfigurable, and programmable acoustic metasurfaces: A review

Zabihi, Ali; Ellouzi, Chadi; Shen, Chen

doi:10.3389/fmats.2023.1132585

Cited by 13 publications

(9 citation statements)

References 111 publications

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“…The reflection coefficient from the metasurface with the boundary condition ( 29) is given by ( 25) and (30). Figure 3 shows the dependence of the reflection coefficient 𝑉 on the incidence angle 𝜃 for different values of the dimensionless impedance 𝑍 ̃𝑁.…”

Section: Reflection Coefficientmentioning

confidence: 99%

“…Let us consider sound absorption by the metasurfaces. The absorption coefficient of the plane wave is 𝛼 = 1 − |𝑉| 2 and can be found using (30). The considered metasurface can completely absorb the incident wave at a certain angle.…”

Section: Diffuse Field Absorptionmentioning

confidence: 99%

“…By repeating this process, we can create resonators of any order of multiplicity. Recent reviews [28][29][30] have shown growing interest in the development of metamaterials using higher-order topological resonators. Following this trend, this paper is dedicated to studying the homogenized acoustic properties of the metasurfaces formed by the multipole resonators.…”

Section: Introductionmentioning

confidence: 99%

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Acoustic properties of surfaces covered by multipole resonators

Kanev

2024

Preprint

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Different types of resonators are used to create acoustic metameterials and metasurfaces. Recent studies focused on the use of multiple resonators of dipole, quadrupole, octupole and even hexadecapole types. This paper considers the theory of an acoustic metasurface, which is a flat surface with a periodic arrangement of multiple resonators. The sound field reflected by the metasurface is determined. If the distance between the resonators is less than a half the wavelength of the incident plane wave, the far field can be described by a reflection coefficient that depends on the angle of incidence. This allows to characterize the acoustic properties of the metasurface by a homogenized boundary condition, which is a high order tangential impedance boundary condition. The tangential impedance depending on the multiple order of the resonators is introduced. In addition, we analyze sound absorption properties of these metasurfaces, which are a critical factor in determining their performance. The paper presents a theoretical model that accounts for the multiple orders of resonators and their impact on sound absorption. The maximum absorption coefficient for a diffuse sound field, as well as the optimal value for the homogenized impedance, are calculated for arbitrary multipole orders.

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Section: Reflection Coefficientmentioning

confidence: 99%

Section: Diffuse Field Absorptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Acoustic properties of surfaces covered by multipole resonators

Kanev

2024

Preprint

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“…Acoustic metasurfaces are artificially designed materials with superior acoustic manipulation capabilities at subwavelength scales [1,2]. It was used in underwater communications, sound absorption and noise reduction, acoustic stealth, and other fields [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Design Method for Acoustic Metasurface Dual-Feature Fusion

Lv,

Zhao,

Huang

et al. 2024

Materials

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Existing research in metasurface design was based on trial-and-error high-intensity iterations and requires deep acoustic expertise from the researcher, which severely hampered the development of the metasurface field. Using deep learning enabled the fast and accurate design of hypersurfaces. Based on this, in this paper, an integrated learning approach was first utilized to construct a model of the forward mapping relationship between the hypersurface physical structure parameters and the acoustic field, which was intended to be used for data enhancement. Then a dual-feature fusion model (DFCNN) based on a convolutional neural network was proposed, in which the first feature was the high-dimensional nonlinear features extracted using a data-driven approach, and the second feature was the physical feature information of the acoustic field mined using the model. A convolutional neural network was used for feature fusion. A genetic algorithm was used for network parameter optimization. Finally, generalization ability verification was performed to prove the validity of the network model. The results showed that 90% of the integrated learning models had an error of less than 3 dB between the real and predicted sound field data, and 93% of the DFCNN models could achieve an error of less than 5 dB in the local sound field intensity.

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Section: Introductionmentioning

confidence: 99%

Acoustic Properties of Surfaces Covered by Multipole Resonators

Kanev

2024

Acoustics

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Different types of resonators are used to create acoustic metamaterials and metasurfaces. Recent studies focused on the use of multiple resonators of the dipole, quadrupole, octupole, and even hexadecapole types. This paper considers the theory of an acoustic metasurface, which is a flat surface with a periodic arrangement of multipole resonators. The sound field reflected by the metasurface is determined. If the distance between the resonators is less than half the wavelength of the incident plane wave, the far field can be described by a reflection coefficient that depends on the angle of incidence. This allows us to characterize the acoustic properties of the metasurface by a homogenized boundary condition, which is a high-order tangential impedance boundary condition. The tangential impedance depending on the multipole order of the resonators is introduced. In addition, we analyze the sound absorption properties of these metasurfaces, which are a critical factor in determining their performance. The paper presents a theoretical model for the subwavelength case that accounts for the multipole orders of resonators and their impact on sound absorption. The maximum absorption coefficient for a diffuse sound field, as well as the optimal value for the homogenized impedance, are calculated for arbitrary multipole orders. The examples of the multipole resonators, which can be made from a set of Helmholtz resonators or membrane resonators, are discussed as well.

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Tunable, reconfigurable, and programmable acoustic metasurfaces: A review

Cited by 13 publications

References 111 publications

Acoustic properties of surfaces covered by multipole resonators

Acoustic properties of surfaces covered by multipole resonators

Deep Learning-Based Design Method for Acoustic Metasurface Dual-Feature Fusion

Acoustic Properties of Surfaces Covered by Multipole Resonators

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