Results 91 to 100 of about 518,428 (215)
Characteristics of Acoustic Metamaterials
, 2022 This is an accepted manuscript of an article published by Elsevier in Reference Module in Materials Science and Materials Engineering, available online: https://doi.org/10.1016/B978-0-12-815732-9.00090-5 The accepted version of the publication may differ from the final published version.
Arjunan, Arun +3 more
openaire +3 more sources
Trapped-modes, slow light and collective resonances in metamaterials
, 2009 A new class of metamaterials exhibiting coherent, collective response has been introduced. It is shown that the sharp resonant behaviour of coherent metamaterials can only be observed in arrays of metamaterial elements and is absent from the response of ...
Papasimakis, Nikitas
core +1 more source
Menger Fractal Acoustic Metamaterials with Double-Negative Property
, 2019 We construct new three-dimensional fractal acoustic metamaterials by adopting Menger structure, which have the double-negative property with a single structure.
陈猛 +4 more
core +2 more sources
Micro/Nanoscale Acoustic Manipulation: From Particle Control to Autonomous Microswimmers
Advanced Science, Volume 13, Issue 55, 5 October 2026.This conceptual framework illustrates acoustic technology as a multifunctional platform enabling passive particle manipulation across scales and autonomous propulsion of microswimmers. ABSTRACT Acoustic manipulation and propulsion technologies have emerged as powerful platforms for micro/nanoscale control, enabled by their non‐contact operation, label ...
Jiahui Chu +4 more
wiley +1 more source
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Advanced Intelligent Discovery, Volume 2, Issue 5, October 2026.Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
On-demand tunable metamaterials design for noise attenuation with machine learning
Materials & DesignMetamaterials with structure-dominated properties provide a new way to design structures to obtain desired performance. To achieve a wide range of applications, on-demand tunable metamaterials would fulfill various and changing needs.
Lige Chang +6 more
doaj +1 more source
Textile Metamaterials: Design, Fabrication, and Emerging Applications
Applied Research, Volume 5, Issue 5, October 2026.Textile metamaterials combine sub‐wavelength electromagnetic structures with textile architectures, enabling flexible and wearable platforms for wave manipulation. This review highlights their evolution, fabrication strategies, electromagnetic characteristics, and emerging applications, while identifying key challenges and opportunities for next ...
Samanta M. de Holanda +8 more
wiley +1 more source
Navigating Competing Constraints in Acoustic Metamaterials via Physically Admissible Design Spaces
Small Structures, Volume 7, Issue 10, October 2026.A physics‐informed variational autoencoder is developed for inverse design of multilayer Helmholtz‐resonator acoustic metamaterials. By embedding an analytical acoustic model within the generative framework, physically admissible latent design spaces are learned, enabling efficient Bayesian optimization under competing requirements of high absorption ...
Xinwei Li +6 more
wiley +1 more source
Zhongguo Jianchuan YanjiuWith the rapid advancement of modern underwater detection technologies, both detection accuracy and frequency coverage, particularly in the low-frequency range, have improved significantly.
Wei LI +3 more
doaj +1 more source
Scientific ReportsThe fixed acoustic characteristics of unit-cell cavities fundamentally limit the broadband sound absorption performance of cavity-type sound-absorbing metamaterials.
Li Bo Wang, Jiu Hui Wu, Jun Fu Zhang
doaj +1 more source