Physics Informed Neural Networks for Modeling of 3D Flow-Thermal Problems with Sparse Domain Data

Saakaar Bhatnagar, Andrew Comerford, Araz Banaeizadeh

Successfully training Physics Informed Neural Networks (PINNs) for highly nonlinear PDEs on complex 3D domains remains a challenging task. In this paper, PINNs are employed to solv…