Results 121 to 130 of about 29,946 (302)

Quantifying Subsurface Weak in‐Plane Magnetization of Mixed Phase BiFeO3 by Scanning Nitrogen Vacancy Magnetometry

Advanced Functional Materials, EarlyView.
We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang, Zhewen Xu, Yuwen Xu, Björn Josteinsson, Simon Josephy, Dawei Zhang, Yunlong Sun, Heung‐Sik Park, Jihun Kim, Kanghyun Chu, Kyung Song, Danyang Wang, Chan‐Ho Yang, Andrea Morales, Jan Seidel   +14 more
wiley   +1 more source

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 more
wiley   +1 more source

Physics-Informed Neural Networks for Parametric Compressible Euler Equations

The numerical approximation of solutions to the compressible Euler and Navier-Stokes equations is a crucial but challenging task with relevance in various fields of science and engineering.
Wassing, Simon, Bekemeyer, Philipp, Langer, Stefan   +2 more
core   +1 more source

Medical imaging analysis with artificial neural networks

, 2010
Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
J. Ren, Jiang, J, Ren, J, Jiang, J., Trundle, P, P. Trundle, Ren, Jinchang, J. Jiang, Trundle, P.   +8 more
core   +1 more source

Electro‐Steric Ion Confinement in Polyelectrolyte Networks for Robust Nonvolatile Artificial Synapse

Advanced Functional Materials, EarlyView.
Polyelectrolyte stoichiometry governs ion transport and retention in electrolyte‐gated synaptic transistors. A PSS‐rich network creates electro‐steric ion confinement that suppresses ion back‐diffusion and stabilizes channel doping, enabling robust nonvolatile synaptic memory, linear weight updates, and low‐energy operation.
Donghwa Lee, Jinbo Kim, Myeongjin An, Jisoo Park, Junho Sung, Eunsung Hwang, Suhwan Seok, Seong‐Min Bak, Jeonghun Kim, Eunho Lee   +9 more
wiley   +1 more source

Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker, Haoyi Lin, Zahra Bahrami, Strahinja Marinkovic, Sung Hyun Lee, Joseph Andrews   +5 more
wiley   +1 more source

Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanics

Communications Engineering
Physics-informed neural network has emerged as a promising approach for solving partial differential equations. However, it is still a challenge for the computation of structural mechanics problems since it involves solving higher-order partial ...
Weiwei He, Jinzhao Li, Xuan Kong, Lu Deng   +3 more
doaj   +1 more source

Densely Multiplied Physics Informed Neural Networks

CoRR
15 pages, 9 ...
Feilong Jiang, Xiaonan Hou, Min Xia 0001
openaire   +2 more sources

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

Advanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son, Changwoo Pyo, Sungmoon Park, Yoongi Cho, Seungchan Lee, Myungsoo Kim   +5 more
wiley   +1 more source

Multifunctional Gold Nanocluster‐Based PROTAC System for Targeted Degradation of Phosphorylated Tau and Modulation of Neuroinflammation in Alzheimer's Disease

Advanced Functional Materials, EarlyView.
We present a novel proteolysis‐targeting chimera (PROTAC) system conjugated to lipoic acid gold nanoclusters (PLANC), designed to degrade pTau, regulate inflammatory signaling, and effectively traverse the blood‐brain barrier (BBB). PLANC degraded pTau at various phosphorylation sites, with mechanistic studies confirming proteasome‐mediated degradation
Sarah Nevins, Callan D. McLoughlin, Wan‐Kyu Ko, Hye Kyu Choi, Brandon Conklin, Joshua B. Stein, Yannan Hou, Hongwon Kim, Rohan Khulbe, Ki‐Bum Lee   +9 more
wiley   +1 more source