In the recently launched joint project "ML-MORE" (Machine Learning and Model Order Reduction for Predicting the Efficiency of Catalytic Filters), researchers from the Cluster of Excellence Mathematics Münster of the Westfälische Wilhelms-Universität Münster (WWU) are cooperating with the Fraunhofer ITWM (as part of the Simulation and Software-Based Innovation Performance Center), the University of Stuttgart, the Technical University of Darmstadt and Umicore AG & Co. KG, a materials technology and recycling group. The German Federal Ministry of Education and Research is funding the project over a period of three years with a total of around one million euros as part of the program "Mathematics for Innovations as a Contribution to Method Development in Handling Large Data Sets".

More Information: itwm.fraunhofer.de/press