Results 121 to 130 of about 1,703,304 (282)

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Resource-aware edge–cloud continuum for lightweight wearable smart-healthcare analytics

Journal of Cloud Computing: Advances, Systems and Applications
Wearable sensing is increasingly used in smart healthcare for continuous and non-intrusive monitoring, yet many studies emphasize predictive accuracy without sufficiently considering edge–cloud deployment constraints such as inference latency, model ...
Sarra Ayouni, Maha Sliti, Lamya Khalid Alosaimi, Mohamed Maddeh   +3 more
doaj   +1 more source

GMB-ECC: Guided Measuring and Benchmarking of the Edge Cloud Continuum

IEEE Access
Modern edge–cloud deployments integrate devices, edge servers, private networks, and cloud platforms into heterogeneous, multi-layer systems. Each layer exposes distinct metrics, measurement granularities, and time scales, which complicates system-
Brian-Frederik Jahnke, Rebecca Schmook, Falk Howar   +2 more
doaj   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Ultra‐Radiostable Covalent Conformationally Interlocked Networks Enabling a Universal Radiometal‐Labeling Platform for Cancer Radioembolization

Advanced Science, EarlyView.
Conjugated poly(imide dioxime)‐based microspheres establish a radiometal coordination‐driven conformational interlocked network with ultra‐high radiostability. This platform enables low‐temperature, multi‐radionuclide labeling for SPECT/PET/MRI imaging and radionuclide therapy. Mechanistic insights from EXAFS and DFT reveal enhanced stability, while in
Xiao Xu, Zhenwen Zhao, Yangjie Wang, Zhigang Liu, Zhijie Liu, Xiaoling Li, Zhichen Mao, Lu Xu, Gan Lin, Gang Liu, Hongjuan Ma   +10 more
wiley   +1 more source

Halide Perovskite: A Rich Source of Thermal Insulator

Advanced Science, EarlyView.
Halide perovskites exhibit ultralow thermal conductivity driven by intrinsic lattice softness and strong anharmonicity, falling below conventional defect‐engineering limits. Weak metavalent bonding, A‐site rattling, and dynamic octahedral tilting drive phonon scattering to the Ioffe–Regel limit, where wave‐like tunneling replaces particle‐like ...
Haolin Ye, Bangzhi Ge, Yuan Yu, Chongjian Zhou   +3 more
wiley   +1 more source

Towards a Definition of Computing Continuum

ACI Avances en Ciencias e Ingenierías
The evolution of the Computing Continuum, coupled with DevOps practices, marks a significant transformation in modern computing. This paper examines the integration of cloud, fog, edge, and IoT technologies to enhance resource utilization, scalability ...
Pablo Josue Rojas Yepes, Carlos Jaime Barrios Hernández, Oscar Carrillo, Frédéric Le Mouël   +3 more
doaj   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

A Web of Things approach for learning on the Edge–Cloud Continuum

Future Generation Computer Systems
Internet of Things (IoT) devices provide constant, contextual data that can be leveraged to automatically reconfigure and optimize smart environments. Artificial Intelligence (AI) and deep learning techniques are tools of increasing importance for this, as Deep Reinforcement Learning (DRL) can provide a general solution to this problem.
Luca Bedogni, Federico Chiariotti
openaire   +1 more source

ABCABC Stacking‐Enabled Non‐Centrosymmetry 3R‐ZnIn2S4 Nanosheets for Piezocatalytic Uranium Extraction

Advanced Science, EarlyView.
The ABCABC stacking sequence in 2D ZnIn2S4 nanosheets creates intrinsic non‐centrosymmetry, enabling robust piezocatalysis under weak mechanical agitation. The nanosheets achieve a H2O2 yield of 276.7 µmol g−1 h−1 and uranium extraction capacity of 763.2 mg g−1 via a dual mechanism of direct piezoreduction and in situ H2O2 complexation.
Song Li, Huaijuan Zhou, Yingting Yang, Yanhong Lv, Zdeněk Sofer, Jianyun Zheng, Jinhua Li   +6 more
wiley   +1 more source