Koyama, M.; Ogawa, T.; Yan, D.; Matsumoto, Y.; Tasan, C. C.; Takai, K.; Tsuzaki, K.: Hydrogen desorption and cracking associated with martensitic transformation in Fe–Cr–Ni-Based austenitic steels with different carbon contents. International Journal of Hydrogen Energy 42 (42), pp. 26423 - 26435 (2017)
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.