Results 101 to 110 of about 13,426 (215)

Acoustic computational metamaterials [PDF]

Chinese Science Bulletin, 2021
Zengyao Lü, Yuanshuai Ding, Peng Liu, Yongmao Pei   +3 more
openaire   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced 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, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Resonant Acoustic Metamaterials

Applied Sciences
Acoustic applications of metamaterials have rapidly developed over the past few decades. The sound attenuation provided by metamaterials is due to the interaction between soundwaves and scatterers organized into a reticular grid, with a peak attenuation at a specific frequency band that is highly dependent on the scatterers’ diameter and reticular ...
Amelia Trematerra, Maria Cairoli, Antonella Bevilacqua, Gino Iannace, Giovanni Amadasi, Gino Iannace, Giovanni Amadasi, Antonella Bevilacqua, Maria Cairoli, Amelia Trematerra   +9 more
openaire   +3 more sources

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced 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

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

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

On-demand tunable metamaterials design for noise attenuation with machine learning

Materials & Design
Metamaterials 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, Xiaowen Li, Zengrong Guo, Yajun Cao, Yuyang Lu, Rinaldo Garziera, Hanqing Jiang   +6 more
doaj   +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

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

Advancements in ship acoustic stealth technology based on acoustic absorbing and insulating metamaterials

Zhongguo Jianchuan Yanjiu
With 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, Zhiwei SONG, Zhiyuan HE, Jiuhui WU   +3 more
doaj   +1 more source