Ratzker, B.; Ruffino, M.; Shankar, S.; Raabe, D.; Ma, Y.: Elucidating the microstructure evolution during hydrogen-based direct reduction via a case study of single crystal hematite. Acta Materialia 294, 121174 (2025)
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.