First neural-network subgrid model for special relativistic MHD reproduces 4x-higher-resolution magnetic field amplification in 3D Kelvin-Helmholtz tests at 44x speedup.
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A new global instability of toroidal magnetic fields in stars is reported that grows on the Alfvén time, is less dissipation-sensitive than the Tayler instability, and may affect angular momentum transport.
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Subgrid Modelling for Relativistic Magnetohydrodynamics with Machine Learning
First neural-network subgrid model for special relativistic MHD reproduces 4x-higher-resolution magnetic field amplification in 3D Kelvin-Helmholtz tests at 44x speedup.
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Beyond the Tayler instability: A new global instability of toroidal magnetic fields in stars
A new global instability of toroidal magnetic fields in stars is reported that grows on the Alfvén time, is less dissipation-sensitive than the Tayler instability, and may affect angular momentum transport.