Results 91 to 100 of about 5,169 (254)

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

Magneto-hydrodynamic Simulations of a Jet Drilling an HI Cloud: Shock Induced Formation of Molecular Clouds and Jet Breakup

open access: yes, 2014
The formation mechanism of the jet-aligned CO clouds found by NANTEN CO observations is studied by magnetohydrodynamical (MHD) simulations taking into account the cooling of the interstellar medium.
Asahina, Y.   +7 more
core   +1 more source

A Mini Review of Scientific Designs of Dynamic Responsive Fluids in Battery Technologies

open access: yesRare Metals, EarlyView.
ABSTRACT Dynamic responsive fluids are emerging as transformative elements in the evolution of battery technologies, marking a pivotal shift from static passive designs toward systems that actively sense and adapt to their operating environments. By integrating dynamic responsive fluids, batteries can interact with both internal and external stimuli in
Xiu‐Zhen Yang   +11 more
wiley   +1 more source

Magnetized Accretion onto Neutron Stars: From Photon-trapped to Neutrino-cooled Flows

open access: yesThe Astrophysical Journal
When a neutron star (NS) intercepts gas from a nondegenerate star, e.g., in a tidal disruption event, a common-envelope phase, or the collapsing core of a massive star, photons become trapped in the hot flow around the NS.
Luciano Combi   +4 more
doaj   +1 more source

Responsive liquid metal materials towards unstructured environment

open access: yesResponsive Materials, EarlyView.
Room‐temperature liquid metals integrate conductivity, deformability, and interfacial dynamics, enabling robust performance in unstructured environments. This review highlights key properties, requirements, and applications across in vivo, underwater, natural, space, and radiation settings, with advances in sensing, actuation, thermal regulation, and ...
Bo Yuan   +5 more
wiley   +1 more source

BATSRUS GPU: Faster-than-real-time Magnetospheric Simulations with a Block-adaptive Grid Code

open access: yesThe Astrophysical Journal
Block-Adaptive-Tree Solar-wind Roe-type Upwind Scheme (BATSRUS), our state-of-the-art extended magnetohydrodynamic code, is the most used and one of the most resource-consuming models in the Space Weather Modeling Framework.
Yifu An   +4 more
doaj   +1 more source

Untangling the Mechanisms in Magneto‐Electrocatalytic Oxygen Evolution

open access: yesSmall, EarlyView.
Magnetic fields can enhance the oxygen evolution reaction in electrocatalytic water‐splitting for green‐H2. Yet, commercialization cannot be realized until the underlying magneto‐electric mechanisms are understood. This work uses reactor orientation to untangle these mechanisms. Lorentz force is shown to control metallic plates, while spin‐polarization
Amy Radford   +9 more
wiley   +1 more source

Unraveling the Trigger Mechanism of Explosive Reconnection in Partially Ionized Solar Plasma

open access: yesThe Astrophysical Journal
Plasmoid instability usually accounts for the onset of fast reconnection events observed in astrophysical plasmas. However, the measured reconnection rate from observations can be one order of magnitude higher than that derived from magnetohydrodynamic ...
Abdullah Zafar   +3 more
doaj   +1 more source

MRI and Implant Safety at Low‐Field and Ultralow‐Field Strengths

open access: yesJournal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 364-377, February 2026.
ABSTRACT Despite its unequivocal value in radiological diagnosis, access to conventional high‐field MRI systems remains extremely uneven across the world. Access is particularly limited in underfunded and remote settings, due to the high cost and infrastructure requirements of MRI systems.
Emre Kopanoglu   +7 more
wiley   +1 more source

Forecasting Local Ionospheric Parameters Using Transformers

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract We present a novel method for forecasting key ionospheric parameters using transformer‐based neural networks. The model provides accurate forecasts and uncertainty quantification of the F2‐layer peak plasma frequency (foF2), the F2‐layer peak density height (hmF2), and total electron content for a given geographic location.
D. J. Alford‐Lago   +4 more
wiley   +1 more source

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