Kim, M.; Kiranbabu, S.; Ponge, D.; Soo Park, E.: Prediction of reversion kinetics in medium Mn steel by linking real experimental data with diffusion simulation. Materials and Design 258, 114631 (2025)
Oh, H. S.; Li, Z.; Kim, J. Y.; Ryu, C. W.; Meyer, A.; Tsuchiya, K.; Raabe, D.; Park, E. S.: Phase Stabilization of High Entropy Alloy under Dynamic Forcing Condition. TMS 2018 Annual Meeting & Exhibition, Phoenix, AZ, USA (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
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.