Sato, H.; Zaefferer, S.: A study on the formation mechanisms of butterfly-type martensite in Fe–30% Ni alloy using EBSD-based orientation microscopy. Acta Materialia 57 (6), pp. 1931 - 1937 (2009)
Sato, H.; Zaefferer, S.; Watanabe, Y.: In-situ Observation of Butterfly-type Martensite in Fe-30mass%Ni Alloy during Tensile Test Using High-resolution EBSD. ISIJ International 49, pp. 1784 - 1791 (2009)
Zaefferer, S.; Sato, H.: Investigation of the formation mechanism of martensite plates in Fe-30%Ni by a high resolution orientation microscopy in SEM. ESOMAT 2006, Bochum (2006)
Sato, H.; Zaefferer, S.: A study on the crystal orientation relationship of butterfly martensite in an Fe30 % Ni alloy by 3-D EBSD-based orientation microscopy. Microscopy Conference 2005, Davos, Switzerland (2005)
Sato, H.; Zaefferer, S.: 3D-analysis of the crystal orientation relationship and growth process of lenticular martensite in Fe–30mass%Ni alloy. DPG Frühjahrstagung, Berlin, Germany (2005)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.