Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Marian, J.: Unraveling the temperature dependence of the yield strength in BCC metals from atomistically-informed crystal plasticity calculation. Dislocations 2016, Purdue University, West Lafayette, IN, USA (2016)
Diehl, M.; Naunheim, Y.; Morsdorf, L.; An, D.; Roters, F.; Raabe, D.: Crystal Plasticity Simulations on Real Data: Towards Highly Resolved 3D Microstructures. 26th International Workshop on Computational Mechanics of Materials - IWCMM 26, Tomsk, Russia (2016)
Kürnsteiner, P.; Wilms, M. B.; Weisheit, A.; Jägle, E. A.; Raabe, D.: Precipitation Reaction in a Maraging Steel during Laser Additive Manufacturing triggered by Intrinsic Heat Treatment. Materials Science and Engineering Congress, Darmstadt, Germany (2016)
Morsdorf, L.; Ponge, D.; Raabe, D.; Tasan, C. C.: New multi-probe experimental approaches to study complex lath martensite. Seminar at Department of Mechanical Engineering, Kyushu University, Fukuoka, Japan (2016)
Raabe, D.; Choi, P.-P.; Gault, B.; Ponge, D.; Yao, M.; Herbig, M.: Segregation engineering for self-organized nanostructuring of materials - from atoms to properties? APT&M 2016 - Atom Probe Tomography & Microscopy 2016 (55th IFES) , Gyeongju, South Korea (2016)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances