Physics-Informed Neural Operator Surrogate for 2D Magnetohydrodynamic Reconnection
Electromagnetics
A physics-informed neural operator learns the map between function spaces in magnetohydrodynamic simulations, enabling efficient state inference for magnetic reconnection at any parameter and time step, significantly reducing computational cost at high Lundquist numbers.
See LICENSE file MagnetohydrodynamicsMagnetic ReconnectionNeural Operator