Herbig, M.: Investigation of Segregation Phenomena in Steels by Correlative Transmission Electron Microscopy and Atom Probe Tomography. International Conference on Atom Probe Tomography & Microscopy 2016, Gyeongju, South Korea (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)
Kuzmina, M.; Gault, B.; Herbig, M.; Ponge, D.; Sandlöbes, S.; Raabe, D.: From grains to atoms: ping-pong between experiment and simulation for understanding microstructure mechanisms. Res Metallica Symposium, Department of Materials Engineering, KU Leuven, Leuven, The Netherlands (2016)
Ponge, D.; Herbig, M.; Tasan, C. C.; Raabe, D.: Integrated experimental and simulation analysis of dual phase steels. Workshop on Possibilities and Limitations of Quantitative Materials Modeling and Characterization 2016, Bernkastel, Germany (2016)
Herbig, M.: Is the Neumann model for short fatigue crack propagation relevant in practice? Science Slam, Department Microstructure Physics and Alloy Design, MPIE, Düsseldorf, Germany (2016)
Ponge, D.; Kuzmina, M.; Sandlöbes, S.; Herbig, M.; Raabe, D.: Austenite formation along dislocations in medium manganese steels. Thermec 2016, Intl. Conf. on Processing & Manufacturing of Advanced Materials, Graz, Austria (2016)
Kuzmina, M.; Herbig, M.; Ponge, D.; Choi, P.-P.; Stoffers, A.; Sandlöbes, S.; Raabe, D.: Segregation engineering enables nanostructured dual-phase laminates via solute decoration and phase transformation at lattice defects. Colloquium lecture at Department of Mechanical Engineering, Technische Universiteit Eindhoven, Eindhoven, The Netherlands (2015)
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
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science