Results 131 to 140 of about 248,313 (294)

Ultralow‐Frequency Epsilon‐Near‐Zero States in 3D‐Printed High‐Entropy Alloy Metacomposites for Ultra‐Thin Perfect RF Absorption

open access: yesAdvanced Materials, EarlyView.
Rozanov causality limit—a compulsive proportional thickness‐wavelength relationship (nd ∝ λ)—makes it challenging to develop perfect absorption with both thin thickness and low frequency. Herein, a cocktail effect in high‐entropy alloys (HEA) is crucially utilized for lowering plasma frequency to achieve epsilon‐near‐zero states, which finally enables ...
Peitao Xie   +7 more
wiley   +1 more source

Digitally-defined ultrathin transparent wireless sensor network for room-scale imperceptible ambient intelligence

open access: yesnpj Flexible Electronics
Wireless and battery-free radio-frequency (RF) sensors can be used to create physical spaces that ambiently sense and respond to human activities. Making such sensors ultra-flexible and transparent is important to preserve the aesthetics of living ...
Yunxia Jin   +9 more
doaj   +1 more source

Physics-Informed Machine Learning Modelling of RF-EMF Exposure in Massive MIMO Systems

open access: yesIEEE Access
Beamforming and massive multiple-input-multiple-output (mMIMO) technologies are key features of base stations (BSs) in the fifth-generation (5G) of mobile networks.
Samuel Bilson   +3 more
doaj   +1 more source

Metamaterial Antennas Enhance MRI of the Eye and Occipital Brain

open access: yesAdvanced Materials, EarlyView.
A radiofrequency antenna platform comprising planar and bend configurations is developed, incorporating structurally integrated epsilon‐negative metamaterial unit cells to enhance MRI. These antennas enable high‐resolution in vivo human MRI of the eye, orbit, and occipital brain. Comprehensive validation, including simulations, phantom experiments, SAR,
Nandita Saha   +14 more
wiley   +1 more source

An Analysis of Radio Frequency Transfer Learning Behavior

open access: yesMachine Learning and Knowledge Extraction
Transfer learning (TL) techniques, which leverage prior knowledge gained from data with different distributions to achieve higher performance and reduced training time, are often used in computer vision (CV) and natural language processing (NLP), but ...
Lauren J. Wong   +3 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Emergent Freestanding Complex Oxide Membranes for Multifunctional Applications

open access: yesAdvanced Materials, EarlyView.
This review surveys freestanding oxide membranes and covers fabrication and three pathways for studies and devices: strain‐free and strained membranes, and van der Waals‐integrated heterostructures. We show how coupled oxide responses map onto these routes and cross‐couple to expand behaviors.
Baowen Li   +6 more
wiley   +1 more source

Enabling Real‐Time, Non‐Ionizing 3D Imaging of Implantable Magnetic Cements Using Magnetic Particle Imaging

open access: yesAdvanced Materials Interfaces, EarlyView.
This study reports the first implantable resin cement capable of orientation‐sensitive Magnetic Particle Imaging (MPI). By coating the cement with an ultrathin iron film, the authors achieve a strong, angle‐dependent MPI signal that enables non‐ionizing, real‐time tracking of both implant position and orientation, opening new possibilities for safe ...
Gabriel C. Pinto   +10 more
wiley   +1 more source

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