Results 151 to 160 of about 22,239 (310)

Terahertz metasurface enabled by barium strontium titanate ferroelectric film

open access: yesEPJ Applied Metamaterials
In this paper, a Ba0.5Sr0.5TiO3 (BST) ferroelectric film is prepared and characterized in the terahertz band. Subsequently, based on the prepared BST film, a metasurface is proposed to manipulate electromagnetic waves.
Fu Yuan, Fu Xiaojian, Guo Yunsheng
doaj   +1 more source

Recent Advances in Programmable Metasurfaces and Meta‐Devices

open access: yesAdvanced 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   +4 more
wiley   +1 more source

A high efficiency wideband co‐polarised metalens antenna

open access: yesIET Microwaves, Antennas & Propagation
The traditional co‐polarised metasurface achieves 360° phase coverage only at the resonant frequency but not full phase coverage across a wide bandwidth. This paper proposes a multilayer structure metasurface, which composes of five layers of metal patch
JiaJun Liang   +3 more
doaj   +1 more source

Topological Materials and Related Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti   +9 more
wiley   +1 more source

Photoreconfigurable Metasurface for Independent Full-Space Control of Terahertz Waves

open access: yesSensors
We present a novel photoreconfigurable metasurface designed for independent and efficient control of electromagnetic waves with identical incident polarization and frequency across the entire spatial domain.
Zhengxuan Jiang   +3 more
doaj   +1 more source

Multifunctional metasurface

open access: yes, 2019
After two decades of rapid development, metasurfaces play an irreplaceable role in the manipulation of surface electromagnetic waves. In this thesis, we will demonstrate two projects in the designing of multifunctional metasurfaces.
Hu, Chuandeng
core  

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

open access: yesAdvanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun   +5 more
wiley   +1 more source

Design and implementation of multi-band reflectarray metasurface for 5G millimeter wave coverage enhancement

open access: yesScientific Reports
A compact low-profile multi-band millimeter-wave (mm-wave) reflectarray metasurface design is presented for coverage enhancement in 5G and beyond cellular communication.
Bilal Tariq Malik   +2 more
doaj   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

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