Springer, H.; Raabe, D.; Belde, M. M.: Rapid Alloy Prototyping – High Throughput Bulk Metallurgy at the MPIE. Workshop on machine learning and data analytics in advanced metals processing, RollsRoyce Institute Manchester, Manchester, UK (2017)
Springer, H.; Belde, M. M.; Raabe, D.: High throughput combinatorial design of novel high performance steels. International conference on High-throughput materials development, Ghent, Belgium (2015)
Belde, M. M.; Springer, H.; Raabe, D.: Tailoring multi-phase microstructures by control of local chemical gradients, applied to austenite in martensitic steel. Icomat 2014
, Bilbao, Spain (2014)
Zhang, J.; Tasan, C. C.; Lai, M.; Springer, H.; Raabe, D.: Influence of oxygen and cold deformation on the ω phase formation in gum metal. TMS 2014, San Diego, TX, USA (2014)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
International research team shows how hydrogen affects Nickel-base superalloys at elevated temperatures. Latest results published in journal Nature Materials.
Max Planck team explains dendrite propagation, paving the way for safer and longer-lasting next-generation batteries. They publish their findings in the journal Nature.