Results 91 to 100 of about 8,931 (261)
An Online Generalized Multiscale Method for Embedded Discrete Fracture Model
This study concerns an online generalized multiscale method for flow in fractured porous media that is based on an embedded discrete fracture model. We first convert a two-point flux-approximation scheme into an equivalent discrete weak formulation that ...
Zhengkang He, Bangmin Wu
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Aimed at distinguishing different fault categories of severity of rolling bearings, a novel method based on feature space reconstruction and multiscale permutation entropy is proposed in the study.
Weibo Zhang, Jianzhong Zhou
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Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
When the gearbox fails, its vibration signal is unstable and nonlinear. The commonly applied gearbox fault diagnosis methods are almost all based on the single-channel vibration signal analysis,which is easy to cause the loss of fault information,so the ...
Fuming Zhou +4 more
doaj
Super‐Resolution and High‐Data‐Density Acoustic Meta‐Hologram via Amplitude and Phase Coupling
A super‐resolution acoustic meta‐hologram utilizes amplitude‐phase coupling under energy conservation constraints to overcome the traditional diffraction limit. This conceptually advanced approach achieves high‐fidelity acoustic field reconstruction and dense information transmission, unlocking new potentials for high‐resolution acoustic imaging and ...
Xiao Guo +15 more
wiley +1 more source
GSD: An R package for graph signal decomposition
Graph signals residing on the vertices of a graph have recently gained prominence in research of various fields, including neural networks, social networks, traffic patterns, and sensors.
Hyeonglae Cho, Hee-Seok Oh, Donghoh Kim
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Non‐Noble Metal Nanocatalysts for Hydrogen Evolution
Recent overviews and latest developments of diverse classes of non‐noble catalysts for application toward high‐performance photocatalysis, thermocatalytic steam reforming, and electrocatalysis. Toward sustainability objectives, several advanced characterization tools in combination with the latest breakthroughs in machine learning for material ...
Lina Jaya Diguna +7 more
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Microkinetics of alcohol reforming for H2 production from a FAIR density functional theory database
The production of hydrogen from biomass is of fundamental importance for a sustainable future. Here, the authors present a multiscale method that allows the formulation of scaling relationships and microkinetics of C1-C2 alcohol decomposition based on a ...
Qiang Li +2 more
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This overview summarizes versatile 2D layered materials for AZIB anodes, cathodes, separators and electrolytes, illustrating their dendrite/side reaction suppression mechanisms, and analyzes existing hurdles to propose scalable commercial research outlooks.
Shuge Dai +7 more
wiley +1 more source
A disulfide‐sticker strategy, coupled with Ca2+ coordination, drives the hierarchical self‐assembly of a recombinant scallop adhesive protein into fishnet‐like nanostructures, affording a coating with versatile wet adhesion and intrinsic antioxidant activity. This biocompatible coating markedly promotes hair regeneration by activating follicular niches,
Lulu Wang +7 more
wiley +1 more source

