pinn-burton-storm: A Physics-Informed Neural Network Approach to the Gannon Storm

Changelog Compatibility Updated seed handling to cast generated seeds to Python integers for compatibility with Python 3.11 and later. Visualization and logging Updated plotting and diagnostic output for readability. Documentation Added instructions for combining the supplied solar-wind data with the separately obtained SuperMAG SMR index. Updated software citation metadata and repository documentation. Associated pubblication M. Lacal, E. Camporeale, M. Piersanti, and G. Consolini (2026). A Physics-Informed Neural Network Approach to the Gannon Storm. Geophysical Research Letters, 53(7), e2025GL121605. https://doi.org/10.1029/2025GL121605 Version and citation This record archives software version v1.0.2, released on 19 January 2026. Version DOI: https://doi.org/10.5281/zenodo.18300260 Concept DOI covering the software versions: https://doi.org/10.5281/zenodo.18098818 Tagged source: https://github.com/Nuelam9/PINN_Burton_Storm/tree/v1.0.2 The publication and citation information has been updated after the article appeared. The archived files remain the original v1.0.2 snapshot. The repository's main branch includes subsequent changes; users of later code should also record the commit identifier.