Results 61 to 70 of about 43,115 (288)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Suppression of Leakage Magnetic Fields in Wireless Power Transfer Using a Sandwich Structure
IEEE AccessThis study proposes a wireless power transfer (WPT) system using a sandwich structure comprising two transmitter coils and two receiver coils with distinct magnetic field configuration modes.
Misato Akiyama +6 more
doaj +1 more source
IET Electric Power Applications, 2021 Aiming at the complexity of end structures in the end region of large synchronous machines, it is difficult to obtain an analytical method for the end leakage magnetic field.
Erhang Zhu +4 more
doaj +1 more source
Distinction method of pipeline inner and outer defects based on the dynamic magnetic multipole field
You-qi chuyun, 2021 In order to identify the inner and outer defect signals in pipeline magnetic flux leakage (MFL) internal inspection under dynamic conditions, a mathematical model of dynamic leakage magnetic field based on the magnetic multipole field was established for
Jing HU +4 more
doaj +1 more source
, 2022 Phase change materials (PCMs) as one of the most potential latent heat storage techniques have been widely used for thermal management and energy storage.
Zhengying Liu (3643588) +7 more
core +1 more source
Advanced Functional Materials, EarlyView.Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
A multisource geomagnetic field model incorporating ocean circulation-induced magnetic field
Earth and Planetary PhysicsThe movement of global ocean circulation in the Earth’s main magnetic field generates a measurable induced magnetic field (about 2 nT at geomagnetic satellite altitudes).
HongBo Yao +4 more
doaj +1 more source
Magnetic Leakage Field Study of a 7 kW Wireless Electric Vehicle Charging System
, 2016 This paper presents a study of the magnetic leakage field of a 7 kW wireless electric vehicle charging (WEVC) system. The leakage field was measured in different test configurations and environments. Typical system parameters, such as coil offset and air
S. Mathar +3 more
core +1 more source
Detection of uniaxial fatigue stress under magnetic flux leakage signals using Morlet wavelet
Fracture and Structural Integrity, 2022 This paper demonstrates the application of continuous wavelet transform technique for magnetic flux leakage signal generated during a uniaxial fatigue test.
S.M. Firdaus +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This article details the development of an artery‐on‐chip platform for in vitro arterial disease modeling and therapeutic discovery. It describes the fabrication of a fibrin biomaterial scaffold seeded with iPSC‐derived smooth muscle and endothelial cells, mimicking native artery properties. Two genetic disease models showcase the platform's ability to
Danielle Yarbrough +10 more
wiley +1 more source