Results 131 to 140 of about 10,716 (266)

Recent Advances in Programmable Metasurfaces and Meta‐Devices

Advanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao, Chong He, Nan Wang, Liming Si, Weiren Zhu   +4 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +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

Broadband configurable perfect absorber based on surface patterned graphene sheet in THz region

Results in Optics
In this study, a novel wideband metamaterial absorber is proposed, and its underlying operational mechanism is thoroughly analyzed. The suggested structure consists of a highly conductive gold substrate, Rogers RT5880LZ as the middle-insulated dielectric,
Soheil Hadipour, Pejman Rezaei, Shiva Khani   +2 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

Efficient Design of a Terahertz Metamaterial Dual-Band Absorber Using Multi-Objective Firefly Algorithm Based on a Multi-Cooperative Strategy

Photonics
Terahertz metamaterial dual-band absorbers are used for multi-target detection and high-sensitivity sensing in complex environments by enhancing information that reflects differences in the measured substances.
Guilin Li, Yan Huang, Yurong Wang, Weiwei Qu, Hu Deng, Liping Shang   +5 more
doaj   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

Dual band angle insensitive metamaterial absorber with MgxCa(0.90−x)Ni0.10Fe2O4 based novel microwave flexible substrate for electromagnetic energy harvesting application

APL Materials
This article presents a metamaterial absorber originated on a flexible substrate of MgxCa(0.90−x)Ni0.10Fe2O4. The MgxCa(0.90−x)Ni0.10Fe2O4 substrate is developed using the sol-gel technique, where X25, X50, and X75 represent 25%, 50%, and 75% of the ...
Md Shakibul Hasan, Mohammad Tariqul Islam, Abdulmajeed M. Alenezi, Md Moniruzzaman, Ahmed S. Alshammari, Mohamed S. Soliman, Saeed Alamri, Md Samsuzzaman   +7 more
doaj   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

A Broadband Metamaterial Absorber

International Journal of Innovative Technology and Exploring Engineering, 2019
This paper gives structure and standard execution of a broadband metamaterial protect at microwave frequencies.The unit cell of proposed structure combines of set-rectangular structure patches of copper put diagonally,at the most noteworthy purpose of the FR4 dielectric substrate and a steady ground plane of copper.
openaire   +1 more source