Exterior complex scaling enables physics-informed neural networks for quantum scattering
The Exterior Complex Scaling (ECS) method allows physics-informed neural networks (PINNs) to solve complex quantum scattering problems for nuclear reactions. ECS transforms outgoing waves into exponentially decaying functions, making them suitable for neural networks. This enables PINNs to accurately predict phase shifts in nucleon-nucleus and heavy-ion scattering by minimizing the differential equation residual.