Results 261 to 270 of about 109,103 (311)

Frequency-multiplexed tunable logic device based on terahertz graphene-integrated metamaterial composed of two circular ring resonator array. [PDF]

Sci Rep
Asgari S, Fabritius T.
europepmc   +1 more source

Active Thermal Metasurfaces Enable Superscattering of Thermal Signatures Across Arbitrary Shapes and Thermal Conductivities

Advanced Science, EarlyView.
This study proposes a thermal superscatterer capable of manipulating thermal scattering signatures far exceeding the actual scale of objects. Utilizing transformation thermotics and active thermal metasurfaces, the device reproduces the thermal scattering signature of the enlarged thermal scatterer.
Yichao Liu, Yawen Qi, Fei Sun, Jinyuan Shan, Hanchuan Chen, Yuying Hao, Hongming Fei, Binzhao Cao, Xin Liu, Zhuanzhuan Huo   +9 more
wiley   +1 more source

Study on Acoustic Metamaterial Unit Cells: Acoustic Absorption Characteristics of Novel Tortuously Perforated Helmholtz Resonator with Consideration of Elongated Acoustic Propagation Paths. [PDF]

Materials (Basel)
Huang Y, Fan Q, Wang X, Liu Z, Shi Y, Liu C.   +5 more
europepmc   +1 more source

Non‐Uniform Space‐Time‐Coding Modulation for Low‐Complexity Diagnostics of Reconfigurable Intelligent Surfaces

Advanced Electronic Materials, EarlyView.
A diagnostic method for reconfigurable intelligent surfaces (RIS) based on non‐uniform space‐time‐coding modulation is presented. Fault localization is achieved via amplitude‐only spectral measurements, eliminating the need for complex signal processing. A one‐to‐one mapping between harmonic components and RIS elements enables accurate detection.
Xiao Qing Chen, Lei Zhang, Yi Ning Zheng, Bing Bing Zhu, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Vincenzo Galdi, Tie Jun Cui   +8 more
wiley   +1 more source

Study on the Complex Band Structure and Auxetic Behavior of Fractal Re-Entrant Honeycomb Metamaterials. [PDF]

Materials (Basel)
Li J, Chen S, Lin W, Lin Y.
europepmc   +1 more source

Inverse Design of a Nurbs-Based Chiral Metamaterial Via Machine Learning for Programmable Mechanical Deformation

Xiuhui Hou, Wenhao Zhao, Kai Zhang, Zichen Deng   +3 more
openalex   +1 more source

Liquid Metals in Radio Frequency Applications: A Review of Physics, Manufacturing, and Emerging Technologies

Advanced Electronic Materials, EarlyView.
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley   +1 more source

Triangular reentrant honeycomb metamaterial structure for broadband sound attenuation using shape memory polymers. [PDF]

Sci Rep
Ejaz M, Sallih N, Mujahid Y, Janga VSR, Latheef M, Tang TB, Liong LY.   +6 more
europepmc   +1 more source

Physics‐Informed Deep Learning Method for Real‐Time Multi‐Harmonic Beamforming Based on Space‐Time‐Coding Metasurface

Advanced Electronic Materials, EarlyView.
This work proposed an unsupervised physics‐informed deep learning method of generating space‐time‐coding metasurface coding patterns for arbitrary single‐ and dual‐beam requirements at each harmonic. This method is specially designed for the coding pattern design task of multi‐bit scenario, and it can effectively handle the optimization trouble caused ...
Jiang Han Bao, Che Liu, Yi Ning Zheng, Lei Zhang, Wen Ming Yu, Lianlin Li, Tie Jun Cui   +6 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source