THE SECOND SAUDI INTERNATIONAL CONFERENCE ON NUCLEAR POWER ENGINEERING (SCOPE-2)

This research presents the first application of Sparse Identification of Nonlinear Dynamics (SINDy) to nuclear reactor model identification, specifically targeting Pressurized Water Reactor systems. The identified models provide a foundation for advanced control systems, predictive diagnostics, and operational optimization while maintaining the interpretability required for nuclear safety applications. The approach addresses traditional first-principles modeling limitations by discovering governing equations directly from measurements without requiring simplifications that may compromise predictive accuracy during complex operational transients.