A Physics‐Informed Neural Network Approach to the Gannon Storm
Abstract Extreme geomagnetic storms, such as the May 2024 Gannon event, pose significant risks to technological infrastructure, requiring robust forecasting models. Here, we apply Physics‐Informed Neural Networks (PINNs) to the Burton equation to model the storm's ring current dynamics by studying the temporal evolution of the SuperMAG SMR index during
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