Before revision: Deep learning-based modeling of dynamical systems driven by partial differential equations (PDEs) has become quite popular in recent years.
After revision: Deep learning-based modeling of dynamical systems driven by partial differential equations (PDEs) . We propose a deep learning framework that learns the underlying dynamics and predicts its evolution using sparsely distributed data sites. Deep learning has shown promising results in modeling physical dynamics in recent years.