Results 71 to 80 of about 2,473 (180)
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
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
Recent Advances in Non-Traditional Elastic Wave Manipulation by Macroscopic Artificial Structures
Metamaterials are composed of arrays of subwavelength-sized artificial structures; these architectures give rise to novel characteristics that can be exploited to manipulate electromagnetic waves and acoustic waves. They have been also used to manipulate
Jeonghoon Park, Dongwoo Lee, Junsuk Rho
doaj +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
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
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Artificial structures for human‐machine interfaces with closed‐loop interaction
Artificial structures bridge sensing and feedback in closed‐loop human‐machine interfaces by providing geometry‐enabled mechanical and functional programmability. This review maps the role of artificial structures in diverse sensing modalities and feedback strategies, and illustrates their integration into closed‐loop interaction systems, highlighting ...
Taiqi Hu +4 more
wiley +1 more source
Stimulated Forward Brillouin Scattering in Subwavelength Grating Silicon Membranes
This work proposes a novel strategy to achieve large Brillouin scattering with independent control of the optical and mechanical modes using subwavelength silicon membranes. We experimentally demonstrate remarkably high Brillouin gain, resulting in an on/off Stokes gain of 3 dB and anti‐Stokes loss of 4 dB in a 6 mm‐long waveguide with 35 mW of on‐chip
Paula Nuño Ruano +8 more
wiley +1 more source
Two‐photon lithography enables the fabrication of complex 3D microstructures with tunable mechanical properties spanning from soft hydrogels to rigid hybrid networks. This review summarizes how material composition, printing parameters, and post‐processing govern stiffness and viscoelasticity, highlighting advanced characterization methods and emerging
Dalila Fontana +6 more
wiley +1 more source
Properties of Liquid Crystalline Elastomer Foams
Controlled foaming of liquid crystalline elastomers (LCE) with expandable microspheres creates particle‐centred mesogenic interphases that enhance viscoelastic dissipation at low bubble fractions. Under impact, optimal damping shifts to moderate porosity, balancing interphase loss, bubble compression, compliance, and integrity.
Oliver Dai +2 more
wiley +1 more source
Application of Metamaterial in Renewable Energy: A Review
Metamaterial advancements hold promise for compact renewable energy harvesting, capturing acoustic, electromagnetic, mechanical, and solar energy on a modest scale across global industries.
Ali Ahmad +4 more
doaj +1 more source
Design and Analysis of Compression–Torsion Coupling Metamaterials Using the Golden Section Method
A novel compression–torsion metamaterial is engineered using inclined rods and symmetry breaking. To optimize its torsional performance, the golden section method is employed. The mechanical response of the metamaterial is validated through both numerical analysis and experimental validation.
Amirhossein Hassani, Sara Bagherifard
wiley +1 more source
Thermo‐Mechanical Topology Optimization: An Immersed FEM Level‐Set‐Based Approach
ABSTRACT This paper proposes a multi‐physics framework for topology optimization using an immersed level set‐finite element model. The work extends the capabilities of a recently developed immersed level‐set method to thermo‐mechanical problems, including coupling and material‐dependent properties.
Farzad Tatar +3 more
wiley +1 more source

