Experimental investigations on liquid-metal MHD generators [PDF]
Liquid metal magnetohydrodynamic generator hydraulic losses and duct ...
Baranov, G. A.
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A Jacobian‐Free Newton‐Krylov Method for Cell‐Centred Finite Volume Solid Mechanics
International Journal for Numerical Methods in Engineering, Volume 127, Issue 3, 15 February 2026.ABSTRACT This study proposes a Jacobian‐free Newton‐Krylov approach for finite‐volume solid mechanics. Traditional Newton‐based approaches require explicit Jacobian matrix formation and storage, which can be computationally expensive and memory‐intensive.
Philip Cardiff +3 more
wiley +1 more source
Solar-driven liquid metal magnetohydrodynamic generator [PDF]
A solar oven heated by concentrated solar radiation as the heat source of a liquid metal magnetohydrodynamic (LMMHD) power generation system is proposed.
Hohl, F., Lee, J. H.
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Synchronous charge-constrained electroquasistatic generator [PDF]
, 1969 Electroquasistatic generator depends on electroquasistatic interactions to provide synchronous operation. The generator employs a moving insulating belt, with an ac electric potential source to establish positively and negatively charged regions on the ...
Melcher, J. R.
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BxC: a swift generator for 3D magnetohydrodynamic turbulence [PDF]
, 2022 J. -B. Durrive +5 more
openalex +1 more source
MRI and Implant Safety at Low‐Field and Ultralow‐Field Strengths
Journal 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
Experimental investigation of an insector device [PDF]
Injector characteristics using wet steam in connection with magnetohydrodynamic generator ...
Danilian, V. S.
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Forecasting Local Ionospheric Parameters Using Transformers
Journal 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
A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging. [PDF]
Sensors (Basel), 2023 Mehri M +4 more
europepmc +1 more source
Estimates of Optimal Operating Conditions for Hydrogen-Oxygen Cesium-Seeded Magnetohydrodynamic Power Generator [PDF]
The value of percent seed, oxygen to fuel ratio, combustion pressure, Mach number, and magnetic field strength which maximize either the electrical conductivity or power density at the entrance of an MHD power generator was obtained. The working fluid is
Nichols, L. D., Smith, J. M.
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