most citedMulti-soliton solutions and data-driven discovery of higher-order Burgers' hierarchy equations with physics informed neural networks

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physics.plasm-ph2026

Physics-Informed Kolmogorov-Arnold Networks for Grad-Shafranov Tokamak Equilibria

D. A. Kaltsas, A. Kuiroukidis, J. Liu +2

We employ equation-driven, physics-constrained deep learning to solve the fixed-boundary Grad-Shafranov (GS) equilibrium problem, constructing axisymmetric magnetohydrodynamic equi…