Figure 1: Schematic overview of the project. A machine learning model is trained using numerical solutions (simulation videos) of about 600 different PDEs. The objective is to train an artificial neural network to predict a partial differential equation from a given input movie. The equation on the right represents an exemplary prediction with coefficients α, β, κ, λ, χ.