Machine Learning, Deep Learning, Artificial Intelligence, Mathematics, Physics.
formulated so that the NN learns to not only fit the data but also satisfy the physical laws/constraints — the differential equation and the boundary/initial conditions. PINNs have been shown to perform better than the traditional numerical approaches such as finite difference and Runge-Kutte