Schneider, A.; Fu, C.-C.; Waseda, O.; Barreteau, C.; Hickel, T.: Ab initio based models for temperature-dependent magnetochemical interplay in bcc Fe–Mn alloys. Physical Review B 103 (2), 024421 (2021)
Waseda, O.: Machine-Learning assisted Heisenberg model for systems with ill-defined magnetic interactions. Thermec 2018 Conference, Paris, France (2018)
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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.