Two-stage PINNs solve three analytical Grad-Shafranov benchmarks to O(10^-8) accuracy, far below the 10^-3 to 10^-4 errors of earlier PINN solvers cited in the paper.
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Physics-Informed Neural Networks for High-Precision Grad-Shafranov Equilibrium Reconstruction
Two-stage PINNs solve three analytical Grad-Shafranov benchmarks to O(10^-8) accuracy, far below the 10^-3 to 10^-4 errors of earlier PINN solvers cited in the paper.