Efficient analysis of X-ray diffraction data (XRD) plays a crucial role in the discovery of new materials, for example for the energy systems of the future. It is used to analyze the crystal structures of new materials in order to find out, for which applications they might be suitable. XRD measurements have already been significantly accelerated in recent years through automation and provide large amounts of data when measuring material libraries. "However, XRD analysis techniques are still largely manual, time-consuming, error-prone and not scalable," says Alfred Ludwig. "In order to discover and optimize new materials faster in the future using autonomous high-throughput experiments, new methods are required."