Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks

Nicholas Geneva, Nicholas Zabaras

In recent years, deep learning has proven to be a viable methodology for surrogate modeling and uncertainty quantification for a vast number of physical systems. However, in their…