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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3D GRMHD collapsar simulations initialized with toroidal fields demonstrate that an accretion-disk dynamo generates poloidal fields and launches variable, wobbling jets with LGRB-comparable power.
High-resolution GR neutrino-radiation MHD simulation of 1.35-1.35 Msun BNS merger shows KHI-driven B-field amplification to magnetar levels (~10^50 erg, factor >=316) in 3 ms post-merger.
3D GRMHD simulations with second-moment neutrino transport show aligned spins produce more collimated polar outflows and 2.4e-3 solar masses of proton-rich material yielding light r-process elements like 56Ni, while antialigned spins disrupt magnetic amplification.
citing papers explorer
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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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Jets from Scratch: A 3D Dynamo Origin of Long Gamma-Ray Burst Jets
3D GRMHD collapsar simulations initialized with toroidal fields demonstrate that an accretion-disk dynamo generates poloidal fields and launches variable, wobbling jets with LGRB-comparable power.
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A magnetar formation in binary neutron star merger
High-resolution GR neutrino-radiation MHD simulation of 1.35-1.35 Msun BNS merger shows KHI-driven B-field amplification to magnetar levels (~10^50 erg, factor >=316) in 3 ms post-merger.
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Magnetic Eruption and Nucleosynthesis in GR{\nu}MHD Simulations of Spinning Neutron Star Mergers
3D GRMHD simulations with second-moment neutrino transport show aligned spins produce more collimated polar outflows and 2.4e-3 solar masses of proton-rich material yielding light r-process elements like 56Ni, while antialigned spins disrupt magnetic amplification.