Kim, J.-K.; Guo, W.; Choi, P.-P.; Raabe, D.: Compositional evolution of long-period stacking ordered structures in magnesium studied by atom probe tomography. Scripta Materialia 156, pp. 55 - 59 (2018)
Kim, J.-K.; Sandlöbes, S.; Raabe, D.: On the room temperature deformation mechanisms of a Mg–Y–Zn alloy with long period stacking ordered structures. Acta Materialia 82, pp. 414 - 423 (2015)
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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.