Results 121 to 130 of about 726,451 (313)

Exact solution for nonlinear electromagnetic surface waves in a ferromagnet

open access: yes, 2017
The dispersion relation for TM-Polarized millimeter nonlinear electromagnetic surface waves propagating along the interface of a ferromagnet cover, whose magnetic permeability depends on the absolute value of the magnetic field and a linear substrate has
Shabat, Mohammed M.
core   +1 more source

Optimized dimension-reduction algorithm on input layer for diffractive neural networks

open access: yesAPL Photonics
Diffractive neural network (DNN) has provided a novel solution to address complex artificial intelligence tasks due to its ultrahigh processing speed and parallel computing capability.
Ruisi Li   +5 more
doaj   +1 more source

Radiation loss of planar surface plasmon polaritons transmission lines at microwave frequencies

open access: yesScientific Reports, 2017
Radiation loss of a typical spoof surface plasmon polaritons (SSPPs) transmission line (TL) is investigated in this paper. A 325 mm-long SSPPs TL is designed and fabricated. Simulated results show that radiation loss contributes more to transmission loss
Zhixia Xu   +4 more
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

Strong Lead‐Free Bioinspired Piezoceramics for Durable Energy Transducers

open access: yesAdvanced Functional Materials, EarlyView.
We fabricated brick‐and‐mortar lead‐free piezoceramics with Bi0.5Na0.5TiO3 monocrystal platelets as bricks and amorphous silica as mortar. The alignment of the bricks and the presence of the amorphous silica led to anisotropic residual stresses. These residual stresses increase the samples toughness, strength and durability while the brick alignment ...
Ruxue Yang   +12 more
wiley   +1 more source

An Edible Chitosan‐Based Acoustic Sensor for Sound‐Responsive Actuation in Edible Robots

open access: yesAdvanced Functional Materials, EarlyView.
This study introduces an edible acoustic sensor for robotic food and edible robotics. Built from a chitosan piezoelectric film between gold electrodes, the sensor enables acoustic communication through ON/OFF keying. Integrated into an edible robot with pneumatically actuated arms and neck, it responds to high‐frequency tones.
Valerio Francesco Annese   +8 more
wiley   +1 more source

Multilayer nonlinear diffraction neural networks with programmable and fast ReLU activation function

open access: yesNature Communications
Optical diffractive neural networks are emerging for improving speed and energy efficiency in machine learning. However, the challenges of nonlinear activation functions (e.g., latency issues, high power consumption, and cascading complexity) impede ...
Yu Ming Ning   +9 more
doaj   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

open access: yesAdvanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li   +7 more
wiley   +1 more source

Direction of Arrival Estimation in Terahertz Communications using Convolutional Neural Networks

open access: yes
We demonstrate an approach to accurately estimating the Direction of Arrival (DoA) in terahertz communications using Convolutional Neural Networks (CNNs). Quasi-random patterns are generated with a frequency-diverse antenna which is deliberately designed
He, J.   +5 more
core   +1 more source

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