The 1st Conference on Artificial Intelligence in Materials Science and Engineering was recently hosted by the German Research Center for Artificial Intelligence (Deutsches Forschungszentrum für Künstliche Intelligenz – DFKI) in Saarbrücken. For the first time, this conference brought together the research fields of artificial intelligence and materials science in one place. The two-day event took place in hybrid form, so that the lectures and poster presentations could be followed both on site and online.
We, as Chair of Carbon Composites, were also present through our colleague and Topic Lead for AI, Digitalization and Online Process Monitoring Alexander Seidel. He presented current findings under the title "Prediction of Elastic Properties of Unidirectional Fibre-Reinforced Polymers Using Image Processing of Micrographs, Microscale Finite Element Simulations and Feedforward Neural Networks". These showed how simulated data can be used to train and optimize Machine Learning models leading to immense improvements in calculation times while delivering high accuracy. The method is used in an internal software tool that predicts the mechanical properties of the composite from real micrographs.
We want to thank the German Materials Society (Deutsche Gesellschaft für Materialkunde – DGM) and the DFKI for organizing this great event and all the participants for the lively exchange. We are looking forward to the next gathering of AI and MSE experts in future events.