Lin-Wei Cheng

A Cummins-equation-based physics-informed neural network for response prediction and system identification of wave energy converters

This study evaluates the accuracy of a Physics-Informed Neural Network (PINN) framework for the hydrodynamic analysis of wave energy converters (WECs). While time-domain solvers efficiently predict forward hydrodynamic responses of floating systems, extracting unknown parameters...