Kushaal Kumar Pothula

Physics-Informed Neural Operator Surrogate for 2D Magnetohydrodynamic Reconnection

Direct numerical simulation of magnetic reconnection is limited by the scale separation of resistive magnetohydrodynamics. At large Lundquist numbers $S$ the current layer thins as $S^{-1/2}$, forcing fine grids and short time steps that make parameter scans prohibitively expensive. Deep learning neural operators offer...