Results 131 to 140 of about 15,423 (265)

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

open access: yesAdvanced 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

Next-Generation Reconfigurable Antenna Systems for 6G: Challenges, Architectures, and Vision

open access: yesIEEE Access
Reconfigurable antenna systems are a key technology for sixth-generation (6G) networks. They enable dynamic adaptation in frequency, spatial, and polarization domains.
Rupender Singh   +3 more
doaj   +1 more source

A General and Efficient Framework for the Rapid Design of Miniaturized, Wideband, and High‐Bit RIS

open access: yesAdvanced Electronic Materials, EarlyView.
A general and efficient framework is proposed for the rapid design of high‐performance reconfigurable intelligent surfaces (RISs). This framework integrates advanced antenna design techniques and incorporates various load types, quantities, and values to achieve the design of high‐performance RISs.
Jun Wei Zhang   +14 more
wiley   +1 more source

A Scalable and Integrated Reconfigurable Intelligent Surface

open access: yesAdvanced Electronic Materials
A scalable reconfigurable intelligent surface (RIS) architecture with both centralized and distributed control capability is presented. The RIS is implemented using a one‐bit phase reconfigurable unit cell (UC) designed for X‐band operation.
Zaid Akram   +6 more
doaj   +1 more source

Effect of Channel Aging on Beyond Diagonal Reconfigurable Intelligent Surfaces

open access: yesIEEE Open Journal of the Communications Society
Reconfigurable intelligent surface (RIS) has appeared as a revolutionary candidate technology for future sixth-generation (6G) networks, but most works have relied on single-connected reflective RISs, which are mathematically described by diagonal phase ...
Anastasios Papazafeiropoulos   +2 more
doaj   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe   +4 more
wiley   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

open access: yesAdvanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang   +9 more
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos   +4 more
wiley   +1 more source

Selected Topics on Reconfigurable Intelligent Surfaces

open access: yes, 2022
Reconfigurable intelligent surface (RIS) is a promising technology for wireless communications applications. A RIS is a thin planar array that consists of multiple reflecting elements, each of which is connected to a tunable chip and can induce a controllable reflection coefficient to the incident signal.
openaire   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

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