Results 41 to 50 of about 2,693 (205)
Deep Learning for Magnetic Flux Leakage Detection and Evaluation of Oil & Gas Pipelines: A Review
Magnetic flux leakage testing (MFL) is the most widely used nondestructive testing technology in the safety inspection of oil and gas pipelines. The analysis of MFL test data is essential for pipeline safety assessments.
Songling Huang +3 more
doaj +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
This paper reviews recent developments of eddy current pulsed thermography (ECPT) for material characterization and nondestructive evaluation (NDE). Due to the fact that line-coil-based ECPT, with the limitation of non-uniform heating and a restricted ...
Gui Yun Tian +5 more
doaj +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Magnetic Flux Leakage Sensing-Based Steel Cable NDE Technique
Nondestructive evaluation (NDE) of steel cables in long span bridges is necessary to prevent structural failure. Thus, an automated cable monitoring system is proposed that uses a suitable NDE technique and a cable-climbing robot. A magnetic flux leakage-
Seunghee Park +3 more
doaj +1 more source
Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment
Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Dielectric Elastomer Actuators as Safe and Effective Tools for Mechanostimulation of Human Cells
Replicating physiological forces is crucial for realistic cell models. Dielectric elastomer actuators (DEAs) offer a soft alternative, though their high voltages raised toxicity concerns. We demonstrate that DEA stimulation causes no cell damage, cell death or cell‐cycle disruption, while activating mechanosensitive responses.
Simon Holzer +6 more
wiley +1 more source
A methodology for the quantitative estimation of the drug loading of iron oxide-based magnetic nanoparticles by corroborating magnetometry and Mössbauer spectroscopy investigations is reported.
Nicusor Iacob +7 more
doaj +1 more source
Innovative Metal‐Modified Resins via 3D Printing of Triply Periodic Minimal Surface Structures
A solvent‐free dual‐monomer strategy enables the direct 3D printing of nickel‐containing TPMS catalyst supports with uniform metal distribution and preserved open‐channel architecture. The resulting structures exhibit excellent printability, thermal and water stability, and enhanced flexibility, offering a promising platform for next‐generation ...
Erika Blanzeanu +6 more
wiley +1 more source

