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Crystals
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Research and Applications of Acoustic Metamaterials
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Research and Applications of Acoustic Metamaterials

A special issue of Crystals (ISSN 2073-4352). This special issue belongs to the section "Inorganic Crystalline Materials".

Deadline for manuscript submissions: 10 November 2025 | Viewed by 2860

Special Issue Editors

Dr. Qiujiao Du

E-Mail Website
Guest Editor
School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China
Interests: condensed matter physics; acoustic metamaterials; seismic metamaterials; terahertz technology; machine learning; finite element analysis
Dr. Qi Li

E-Mail Website
Guest Editor
College of Naval Architecture and Ocean Engineering, Dalian Maritime University, Dalian 116026, China
Interests: acoustic metamaterials; acoustic cloaking; pentamode metamaterials; phononic crystals; noise and vibration isolation

Special Issue Information

Dear Colleagues,

Acoustic metamaterials (AMMs) are a form of synthetic material that can be specifically developed to have a sub-wavelength periodic structure with extraordinary characteristics not found in nature. Recently, the ability to manipulate sound waves, elastic waves, and seismic waves thanks to these properties has attracted great interest from scientists and engineers and has been the subject of extensive research. Acoustic metamaterials have a broad range of applications, including sound absorption/isolation, noise control, medical imaging, architectural acoustics, defense and security, energy management, earthquake resistance, and underwater applications. Although acoustic metamaterials have tremendous ability for the field of sound control, AMMs present challenges such as frequency-dependent operation, optimization requirements, and material costs. Some interdisciplinary theories on acoustic metamaterials have been proposed in this field, such as intelligence, nonlinearity, topology, and bound state in the continuum (BIC). These challenges and multidisciplinary theories are current and relevant topics. This Special Issue, entitled “Research and Applications of Acoustic Metamaterials”, will report the progress achieved over the past several years.  

Dr. Qiujiao Du
Dr. Qi Li
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Crystals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2100 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • acoustic metamaterial
  • seismic metamaterial
  • metasurface
  • noise and vibration isolation
  • topology
  • machine learning
  • nonlinearity
  • intelligent metamaterial
  • bound state in the continuum
  • cloaking

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Published Papers (4 papers)

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Research

18 pages, 3140 KiB  
Article
An Efficient Acoustic Metamaterial Design Approach Integrating Attention Mechanisms and Autoencoder Networks
by Yangyang Chu, Yiping Liu, Bingke Wang and Zhifeng Zhang
Crystals 2025, 15(6), 499; https://doi.org/10.3390/cryst15060499 - 23 May 2025
Abstract
Acoustic metamaterials have been widely applied in fields such as sound insulation and noise reduction due to their controllable band structures and unique abilities to manipulate low-frequency sound waves. However, there exists a highly nonlinear mapping relationship between their structural parameters and performance [...] Read more.
Acoustic metamaterials have been widely applied in fields such as sound insulation and noise reduction due to their controllable band structures and unique abilities to manipulate low-frequency sound waves. However, there exists a highly nonlinear mapping relationship between their structural parameters and performance responses, which causes traditional design methods to face the problems of inefficiency and poor generalization. Therefore, this paper proposes a bidirectional modeling framework based on deep learning. We constructed a forward prediction network that integrates an attention mechanism, a multi-scale feature fusion, and a reverse design model that combines an improved autoencoder and cascaded neural network to efficiently model the dispersion performance of acoustic metamaterials. In the feedforward network, the improved forward prediction model shows superior performance compared to the traditional Convolutional Neural Network model and the model based only on the Convolutional Block Attention Module attention mechanism, with a prediction accuracy of 99.65%. It has better fitting ability and stability in the high-frequency part of the dispersion curve. In the inverse network part, compression of the high-dimensional dispersion curves by an improved autoencoder reduces the training time by about 13.5% without significant degradation of the inverse prediction accuracy. The proposed network model provides a more efficient method for the design of metamaterials. Full article
(This article belongs to the Special Issue Research and Applications of Acoustic Metamaterials)
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20 pages, 2259 KiB  
Article
Temperature-Controlled Defective Phononic Crystals with Shape Memory Alloys for Tunable Ultrasonic Sensors
by Soo-Ho Jo
Crystals 2025, 15(5), 412; https://doi.org/10.3390/cryst15050412 - 28 Apr 2025
Viewed by 284
Abstract
Phononic crystals (PnCs) have garnered significant interest owing to their ability to manipulate wave propagation, particularly through phononic band gaps and defect modes. However, conventional defective PnCs are limited by their fixed defect-band frequencies, which restricts their adaptability to dynamic environments. This study [...] Read more.
Phononic crystals (PnCs) have garnered significant interest owing to their ability to manipulate wave propagation, particularly through phononic band gaps and defect modes. However, conventional defective PnCs are limited by their fixed defect-band frequencies, which restricts their adaptability to dynamic environments. This study introduces a novel approach for temperature-controlled tunability of defective PnCs by integrating shape memory alloys (SMAs) into defect regions. The reversible phase transformations of SMAs, driven by temperature variations, induce significant changes in their mechanical properties, enabling real-time adjustment of defect-band frequencies. An analytical model is developed to predict the relationship between the temperature-modulated material properties and defect-band shifts, which is validated through numerical simulations. The results demonstrate that defect-band frequencies can be dynamically controlled within a specified range, thereby enhancing the operational bandwidth of the ultrasonic sensors. Additionally, sensing-performance analysis confirms that while defect-band frequencies shift with temperature, the output voltage of the sensors remains stable, ensuring reliable sensitivity across varying conditions. This study represents a significant advancement in tunable PnC technology, paving the way for next-generation ultrasonic sensors with enhanced adaptability and reliability in complex environments. Full article
(This article belongs to the Special Issue Research and Applications of Acoustic Metamaterials)
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9 pages, 6153 KiB  
Article
Thermal Regulation of the Acoustic Bandgap in Pentamode Metamaterials
by Jing Cheng, Shujun Liang and Yangyang Chu
Crystals 2024, 14(11), 992; https://doi.org/10.3390/cryst14110992 - 17 Nov 2024
Cited by 1 | Viewed by 700
Abstract
This study used the finite element method to investigate the acoustic bandgap (ABG) characteristics of three-dimensional pentamode metamaterial (PM) structures under the thermal environment, and a method for controlling the PM ABG based on external temperature variation is also proposed. The results indicate [...] Read more.
This study used the finite element method to investigate the acoustic bandgap (ABG) characteristics of three-dimensional pentamode metamaterial (PM) structures under the thermal environment, and a method for controlling the PM ABG based on external temperature variation is also proposed. The results indicate that the complete acoustic bandgap can be obtained for a PM in the thermal environment, which makes the PM combine the bandgap characteristics of phononic crystals. More than that, the bandwidth and locations of ABGs can be effectively manipulated by controlling the temperature. Considering the softening effect of thermal stresses, the ABG gradually moves to lower frequencies as the temperature increases. Based on this, different degrees of ABG tunability can be achieved by changing the thermal environment to propagate or suppress acoustic waves of different frequencies. This work provides the possibility for PMs to realize intelligent regulation of the bandgap. Full article
(This article belongs to the Special Issue Research and Applications of Acoustic Metamaterials)
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25 pages, 7939 KiB  
Article
Design and Application of a Lightweight Plate-Type Acoustic Metamaterial for Vehicle Interior Low-Frequency Noise Reduction
by Yudong Wu, Wang Yan, Guang Wen, Yanyong He, Shiqi Deng and Weiping Ding
Crystals 2024, 14(11), 957; https://doi.org/10.3390/cryst14110957 - 31 Oct 2024
Viewed by 1357
Abstract
To reduce the low-frequency noise inside automobiles, a lightweight plate-type locally resonant acoustic metamaterial (LRAM) is proposed. The design method for the low-frequency bending wave bandgap of the LRAM panel was derived. Prototype LRAM panels were fabricated and tested, and the effectiveness of [...] Read more.
To reduce the low-frequency noise inside automobiles, a lightweight plate-type locally resonant acoustic metamaterial (LRAM) is proposed. The design method for the low-frequency bending wave bandgap of the LRAM panel was derived. Prototype LRAM panels were fabricated and tested, and the effectiveness of the bandgap design was verified by measuring the vibration transmission characteristics of the steel panels with the installed LRAM. Based on the bandgap design method, the influence of geometric and material parameters on the bandgap of the LRAM panel was investigated. The LRAM panel was installed on the inner side of the tailgate of a traditional SUV, which effectively reduced the low-frequency noise (around 34 Hz) during acceleration and constant-speed driving, improving the subjective perception of the low-frequency noise from “very unsatisfactory” to “basically satisfactory”. Furthermore, the noise reduction performance of the LRAM panel was compared with that of traditional damping panels. It was found that, with a similar installation area and lighter weight than the traditional damping panels, the LRAM panel still achieved significantly better low-frequency noise reduction, exhibiting the advantages of lightweight, superior low-frequency performance, designable bandgap and shape, and high environmental reliability, which suggests its great potential for low-frequency noise reduction in vehicles. Full article
(This article belongs to the Special Issue Research and Applications of Acoustic Metamaterials)
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