Algorithm is able to learn and preserve the conservation laws of dynamical systems

Many real-world systems, from climate systems to the physical mechanisms of robots, are governed by the invariant quantities that arise from their underlying geometric structures. Modeling these systems using computer simulations is a key tool for understanding them (for weather forecasting, for instance, or developing robot locomotion). It's often possible to collect data for these systems, but making sense of that data to build a model is a more challenging task.