Results 101 to 110 of about 9,355 (217)

Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm

AIP Advances
Optimization of acoustic metamaterial structures and prediction of acoustic absorption properties have received much attention in various fields. This thesis aims to optimize and predict the acoustic absorption performance of quasi-Helmholtz acoustic ...
Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu   +3 more
doaj   +1 more source

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

Advanced 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

Effective Negative Mass Nonlinear Acoustic Metamaterial with Pure Cubic Oscillator

Advances in Civil Engineering, 2018
Acoustic metamaterial, which can prohibit effectively the elastic wave propagation in the bandgap frequency range, has broad application prospects in the vibration and noise reduction areas.
Ming Gao, Zhiqiang Wu, Zhijie Wen
doaj   +1 more source

Relaxed micromorphic broadband scattering for finite-size meta-structures -- a detailed development

, 2019
The conception of new metamaterials showing unorthodox behaviors with respect to elastic wavepropagation has become possible in recent years thanks to powerful dynamical homogenization techniques.
Aivaliotis, Alexios, D'Agostino, Marco-Valerio, Daouadji, Ali, Madeo, Angela, Neff, Patrizio, Tallarico, Domenico   +5 more
core  

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Inverse Design of Mirror‐Symmetric Disordered Systems for Broadband Perfect Transmission

Laser &Photonics Reviews, EarlyView.
This work introduces an inverse design approach to achieve broadband perfect wave transmission in mirror‐symmetric disordered media. Leveraging symmetry simplifies optimization and enables control of multiple reflectionless states. Experiments in microwave waveguides confirm the design of exceptional points, bandpass filters, and broadband quasi ...
Zhazira Zhumabay, Clément Ferise, Vincent Pagneux, Stefan Rotter, Matthieu Davy   +4 more
wiley   +1 more source

An Integration Strategy for Acoustic Metamaterials to Achieve Absorption by Design

Applied Sciences, 2018
As much of metamaterials’ properties originate from resonances, the novel characteristics displayed by acoustic metamaterials are a narrow bandwidth and high dispersive in nature. However, for practical applications, broadband is often a necessity.
Min Yang, Ping Sheng
doaj   +1 more source

Deep Learning‐Based Prediction of Controllable Stress/Strain‐Rate Loading and Design for Loading Conditions

Materials Genome Engineering Advances, EarlyView.
This study establishes the relationship between loading conditions and loading results in graded density impactor (GDI)‐based controllable stress/strain‐rate loading via deep learning, and ultimately realizing the prediction of loading curves and design of loading conditions.
Yiwei Zhang, Ruizhi Zhang, Junbang Jiang, Yahui Huang, Han Chen, Jian Zhang, Guoqiang Luo, Qiang Shen   +7 more
wiley   +1 more source

Transmission of Low-Frequency Acoustic Waves in Seawater Piping Systems with Periodical and Adjustable Helmholtz Resonator

Journal of Marine Science and Engineering, 2017
The characteristics of acoustic wave transmitting in a metamaterial-type seawater piping system are studied. The metamaterial pipe, which consists of a uniform pipe with air-water chamber Helmholtz resonators (HRs) mounted periodically along its axial ...
Boyun Liu, Liang Yang
doaj   +1 more source

Relation of Bulk‐to‐Shear Loss Factors in Viscoelastic Auxetic Metamaterials

physica status solidi (b), EarlyView.
This article examines the dynamic behavior of isotropic auxetic viscoelastic materials, highlighting how negative Poisson's ratios affect energy dissipation, damping, and the interplay between bulk and shear moduli. By extending established viscoelastic theories to the auxetic range, it defines bound limits and underscores how dynamic Poisson's ratio ...
Simon Preston, Julián Londoño‐Monsalve, Ken E. Evans   +2 more
wiley   +1 more source