One of the concerns of the Leibniz-Institut für Verbundwerkstoffe GmbH (IVW) in Kaiserslautern is to be able to use machine learning in the context of simulation models even better for innovations with composite materials in the future. In the Leibniz competition "Cooperative Excellence", IVW and its partners were able to prevail as one of 15 research teams in the competition. A total of 56 research associations had applied. The project "Machine Learning for Simulation Intelligence in Process Design for Composite Materials" receives funding from the Leibniz Association over 3 years totaling 1 million euros.
Clemens Hoch, Minister of Science and Health of the state of Rhineland-Palatinate, is pleased with the success: "By combining the possibilities of machine learning with the opportunities offered by new high-performance composite materials, IVW is helping to lay important foundations for solving tasks facing society as a whole, such as the fight against the climate crisis. At the same time, the project is a further step on our way to further expanding the state's nationwide top position in the field of AI research. With DFKI and ITWM, two of the four cooperation partners that IVW was able to win for its project are located in the immediate vicinity of IVW in Kaiserslautern. This shows how broadly and efficiently Rhineland-Palatinate's scientific landscape is positioned in the field of research and utilization of artificial intelligence is positioned."
In addition to the Leibniz-Institut für Verbundwerkstoffe GmbH (IVW), the consortium consists of the Weierstraß-Institut für Angewandte Analysis und Stochastik (WIAS) Berlin, the Leibniz-Institut für Polymerforschung (IPF) Dresden, the Fraunhofer-Institut für Techno- und Wirtschaftsmathematik (ITWM) and the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)), both from Kaiserslautern. The two IVW scientists PD Dr.-Ing. habil. David May and Dr. Miro Duhovic will take on the lead.
The consortium (see figure) receives international support from Professors J. Nathan Kutz (University of Washington) and Suresh Advani (University of Delaware).