Sohn, S. S.; Han, S. Y.; Shin, S. Y.; Bae, J.; Lee, S.: Analysis and estimation of the yield strength of API X70 and X80 linepipe steels by double-cycle simulation tests. Metals and Materials International 19 (3), pp. 377 - 388 (2013)
Sohn, S. S.; Jo, Y. H.; Choi , W.-M.; Kim , D. G.; Kim , H. S.; Lee , B. J.; Lee , S.: Transformation-induced plasticity in HEA: FCC to BCC transformation. Thermec 2018, 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
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.