MEMORI – Machine Learning Methods for Determining Functional Properties of Smart Materials

The focus is on the application of artificial intelligence methods for the development and quality assessment of magnet and battery materials. The material properties are determined from structural information with the help of machine learning algorithms and neural networks. In addition to a better understanding of the structure-property correlations, it should be possible in the future to make predictions about the function, quality or service life of these materials. In a later project phase, the transferability of the models and concepts developed in the project to other material classes will be investigated. The materials investigated are relevant for electric motors and wind power generators as well as for batteries and fuel cells and thus for electromobility and renewable energies.