Our focus is to develop numerical methods for physics simulations in computer graphics. A particular emphasis lies on simulating fluid flow with deep learning techniques, especially with convolutional neural networks. These methods have significant potential for efficient and robust simulations, e.g., in the context of visual effects and digital games.