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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2026 3verdicts
UNVERDICTED 3representative citing papers
A rescaling algorithm for artificial atmospheres achieves exact mass and electron number conservation to round-off precision in binary neutron star merger simulations.
Long-term numerical-relativity runs find isolated neutron stars with an external dipole relax to a stable mixed poloidal-toroidal field with toroidal energy ≲10% after Tayler saturation.
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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Exact Mass Conservation in Binary Neutron Star Merger Simulations
A rescaling algorithm for artificial atmospheres achieves exact mass and electron number conservation to round-off precision in binary neutron star merger simulations.
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Magnetic field dynamics in isolated neutron stars with an external dipole field
Long-term numerical-relativity runs find isolated neutron stars with an external dipole relax to a stable mixed poloidal-toroidal field with toroidal energy ≲10% after Tayler saturation.