Improving physics-informed neural network extrapolation via transfer learning and adaptive activation functions

Athanasios Papastathopoulos-Katsaros, Alexandra Stavrianidi, Zhandong Liu

Physics-Informed Neural Networks (PINNs) are deep learning models that incorporate the governing physical laws of a system into the learning process, making them well-suited for so…