Results 91 to 100 of about 9,574 (206)

The Cuttlebone Blueprint for Multifunctional Metamaterials: Design Taxonomy, Functional Decoupling, and Future Horizons

Advanced Functional Materials, Volume 36, Issue 36, 4 May 2026.
Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley   +1 more source

Pattern Formation in Non‐Equilibrium Architected Materials

Advanced Materials Technologies, Volume 11, Issue 10, 22 May 2026.
This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
wiley   +1 more source

Advancing Photonic Inverse Design with Interpretable Machine Learning

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
The work applies the interpretable machine learning technique called LIME (local interpretable model‐agnostic explanations) to the inverse design of photonic chips, revealing hidden optimization patterns and guiding better starting designs. Using insights from LIME improves performance of two‐mode multiplexers, showing interpretable methods can ...
Lirandë Pira, Airin Antony, Nayanthara Prathap, Jamika Ann Roque, Daniel Peace, Jacquiline Romero   +5 more
wiley   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, Volume 13, Issue 26, 8 May 2026.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source

Acoustic Transmission Characteristics Based on H-Type Metamaterials

IEEE Access, 2019
To achieve the artificial manipulation of the acoustic wave front, and to produce high-efficiency acoustic focusing effect, this paper designed an $H$ -type locally resonant metamaterial structure based on a two-dimensional three-component local ...
Shuai Tang, Jianning Han
doaj   +1 more source

Active Metamaterials with Tunable Shear Nonreciprocity and Nonlinear Dynamics

Advanced Science, Volume 13, Issue 28, 18 May 2026.
Active gear‐based mechanical metamaterials enable simultaneous control of translational and torsional stiffnesses by 30–100×, break shear reciprocity under positive versus negative loads, broadly tune resonant frequencies, and offer programmable dynamic responses.
Xin Fang, Miao Yu, Dianlong Yu, Li Cheng
wiley   +1 more source

Recent Advances in Soft Acoustic Metamaterials: A Comprehensive Review of Geometry, Mechanisms, and System Responsiveness

Applied Sciences
Acoustic metamaterials (AMs) are artificially structured materials composed of subwavelength units that enable acoustic phenomena not achievable with conventional materials and structures.
Ju-Hee Lee, Haesol Kwak, Eunjik Kim, Min-Woo Han   +3 more
doaj   +1 more source

Prospects of acoustic metamaterials for acoustic stealth

Zhongguo Jianchuan Yanjiu, 2020
With the gradual realization of low frequency detection and other characteristics of sonar technology, the development of stealth technology is facing great challenges. Acoustic metamaterials are a new type of artificial composite materials with supernormal physical properties,which can suppress the propagation of large wavelength(low frequency ...
XU Weilong, PENG Weicai, ZHANG Junjie, HE Xuesong   +3 more
openaire   +1 more source

Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin, Rudolf M. Füchslin, Achille Giacometti, Helmut Hauser, Marco Werner   +4 more
wiley   +1 more source

Recent Developments of Acoustic Energy Harvesting: A Review

Micromachines, 2019
Acoustic energy is a type of environmental energy source that can be scavenged and converted into electrical energy for small-scale power applications. In general, incident sound power density is low and structural design for acoustic energy harvesting ...
Ming Yuan, Ziping Cao, Jun Luo, Xiujian Chou   +3 more
doaj   +1 more source