Physics-informed neural network to augment experimental data: an application to stratified flows

Lu Zhu, Xianyang Jiang, Adrien Lefauve +2

We develop a physics-informed neural network (PINN) to significantly augment state-of-the-art experimental data and apply it to stratified flows. The PINN is a fully-connected deep…