Prof. Nils Thuerey, Chair for Computer Graphics and Visualization, receives funding in the form of a Consolidator Grant from the European Research Council (ERC). The goal of his "SpaTe" project is to teach physics to computers – using data and examples rather than the conventional equation-based method. Software that predicts how gases, liquids and solids change shape under certain conditions and over a certain period is used in an enormous number of industries and research projects. So far, these programs have required enormous processing power. Machine learning has the potential for flexible and realistic modelling of temporal processes. Very little research has taken place in this area, however. In his project, Prof. Nils Thuerey wants to develop new algorithms to put machine learning to use in physical simulations. In the future this might make it possible, for example, to detect automatically from video data which physical materials are present and analyze their behavior. For his research he has previously received an ERC Starting Grant and Proof of Concept Grant.