Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains

Ali Harandi, Ahmad Moeineddin, Michael Kaliske +2

Physics-informed neural networks (PINNs) are a new tool for solving boundary value problems by defining loss functions of neural networks based on governing equations, boundary con…