Hyo-ju Park

Accuracy–Consistency Tradeoffs in Conservation-Constrained and Progressive-Cap PINNs for Inverse Source Identification

This work contributes an auditable benchmark and gate-based evaluation protocol, rather than a new physics-informed neural network (PINN) variant, for inverse source identification. The benchmark tests whether inverse accuracy, residual consistency, optimization adequacy, and identifiability agree in a one-dimensional...