Results 91 to 100 of about 3,581 (229)

Acoustic double negativity with coupled-membrane metamaterial [PDF]

open access: yes, 2013
Over the past decade, the emergence of acoustic metamaterials has considerably broadened the possibility of acoustic wave manipulations. Within this area, exotic effective constitutive parameters (mass density and bulk modulus) are a most hotly pursued ...
Sheng, Ping   +7 more
core   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

open access: yesAdvanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun   +5 more
wiley   +1 more source

Acoustic Metamaterial With Fractal Coiling Up Space for Sound Blocking in a Deep Subwavelength Scale [PDF]

open access: yes, 2017
Inspired by fractal photonic/phononic crystals, the self-similar fractal technique is applied to design acoustic metamaterial. By replacing the straight channel of coiling up space with a smaller coiling up space, a class of topological architectures ...
Baizhan Xia   +3 more
core   +1 more source

Systematic design and experimental demonstration of bianisotropic metasurfaces for scattering-free manipulation of acoustic wavefronts

open access: yesNature Communications, 2018
Acoustic bianisotropy does not exist in natural materials but can be designed with acoustic metamaterials. Here, Li et al. utilized acoustic bianisotropy and develop a practical metamaterial with improved transmission efficiency which outperforms the ...
Junfei Li   +4 more
doaj   +1 more source

Acoustic Properties of a Metamaterial Acoustic Barrier

open access: yes, 2020
In the last years, a lot of papers have reported the results of researchers on metamaterials. The study of metamaterials represents a new research field in noise control. Metamaterials are artificial structures with periodical elements, made by the arrangement of scatterers in a square or triangular lattice configuration.
Iannace, Gino   +3 more
openaire   +1 more source

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

Advances in Acoustic Metamaterials

open access: yes, 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/B978-0-12-815732-9.00091-7 The accepted version of the publication may differ from the final published version.
Arjunan, Arun   +2 more
openaire   +3 more sources

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Nonlinear vibration characteristics and noise reduction performance of honeycomb metamaterial structures with hysteretic nonlinearity [PDF]

open access: yesAIP Advances
Vibration and noise are key factors affecting the technical performance of modern equipment. With the trend toward smarter and more compact marine exploration equipment, there is an urgent need for ultra-thin, lightweight, and pressure-resistant ...
Xiaohuan Li   +4 more
doaj   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

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