Originally published at: Using Physics-Informed Deep Learning for Transport in Porous Media | NVIDIA Technical Blog
Simulations are pervasive in every domain of science and engineering, but they are often constrained by large computational times, limited compute resources, tedious manual setup efforts, and the need for technical expertise. NVIDIA SimNet is a simulation toolkit that addresses these challenges with a combination of AI and physics. A success story of SimNet’s application…
I do not see where the neural network comes into play, this looks like a PDE problem