Jun-Ying Bi

Physics-Informed Neural Network Framework for Ship Roll Motion Prediction with Adaptive Loss Balancing

Accurate prediction of ship roll motion is essential for maritime safety and stability assessment. Physics-based methods can provide physically interpretable predictions, but high-fidelity numerical simulations usually require considerable computational resources, limiting their application to efficient and long durati...