Merzlikin, S. V.; Bashir, A.; Rohwerder, M.: Hydrogen embrittlement and traps structure of advanced high strength sheet steel for automotive applications. ICH2P-2014, International Conference on Hydrogen Production, Fukuoka, Japan. (2014)
Merzlikin, S. V.; Rohwerder, M.: Detection of Local Hydrogen Distribution by SIMS. Possibility of the Electrochemical SIMS Calibration for Quantification of Hydrogen in Metallic Matrix. International Symposium on Metal-Hydrogen Systems 2012 (MH2012) , Kyoto, Japan (2012)
Merzlikin, S. V.: Quantitative photoemission depth profiling - A new approach to the surface analysis of real materials. 5. Materialwissenschaftlicher Tag in RUB, Bochum, Germany (2006)
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.