Jovičević-Klug, P.; Tegg, L.; Jovičević-Klug, M.; Parmar, R.; Amati, M.; Gregoratti, L.; Almásy, L.; Cairney, J. M.; Podgornik, B.: Understanding carbide evolution and surface chemistry during deep cryogenic treatment in high-alloyed ferrous alloy. Applied Surface Science 610, 155497 (2023)
Amati, M.; Susi, T.; Jovičević-Klug, P.; Jovičević-Klug, M.; Kosmala, T.; Granozzi, G.; Agnoli, S.; Yang, P.; Zhang, Y.; Scardamaglia, M.et al.; Gregoratti, L.: Scanning photoelectron spectromicroscopy: from static to operando studies of functional materials. Journal of Electron Spectroscopy and Related Phenomena 265, 147336 (2023)
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.