The original paper of PINNs [1] provided a discrete time approach that circumvents the need for collocation points by introducing a more structured neural network representation leveraging the classical Runge-Kutta time-stepping schemes. Does Modulus include the discrete time PINNs or similar methods? Thank you.
[1] Raissi, Maziar, Paris Perdikaris, and George E. Karniadakis. “Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.” Journal of Computational physics 378 (2019): 686-707.