Duarte, M. J.; Fang, X.; Rao, J.; Krieger, W.; Brinckmann, S.; Dehm, G.: In situ nanoindentation during electrochemical hydrogen charging: a comparison between front-side and a novel back-side charging approach. Journal of Materials Science 56 (14), pp. 8732 - 8744 (2021)
An, D.; Krieger, W.; Zaefferer, S.: Unravelling the effect of hydrogenon microstructure evolution under low-cycle fatigue in a high-manganese austenitic TWIP steel. International Journal of Plasticity 126, 102625 (2020)
Sun, B.; Krieger, W.; Rohwerder, M.; Ponge, D.; Raabe, D.: Dependence of hydrogen embrittlement mechanisms on microstructure-driven hydrogen distribution in medium Mn steels. Acta Materialia 183, pp. 313 - 328 (2020)
Wu, C.-H.; Krieger, W.; Rohwerder, M.: On the robustness of the Kelvin probe based potentiometric hydrogen electrode method and its application in characterizing effective hydrogen activity in metal: 5 wt. % Ni cold-rolled ferritic steel as an example. Science and Technology of Advanced Materials 20 (1), pp. 1073 - 1089 (2019)
Krieger, W.; Merzlikin, S. V.; Bashir, A.; Springer, H.; Rohwerder, M.: Influence of strengthening mechanisms and environmental conditions on the performance of ferritic steels. In: EUROCORR 2017 - The Annual Congress of the European Federation of Corrosion. Joint European Corrosion Congress 2017, EUROCORR 2017 and 20th International Corrosion Congress and Process Safety Congress 2017, Prague, Czech Republic, September 03, 2017 - September 07, 2017. (2017)
Altin, A.; Wohletz, S.; Krieger, W.; Groche, P.; Erbe, A.: Effect of surface condition on the bond strength between aluminum and steel joint in cold welding. CETAS 2015, Düsseldorf, Germany (2015)
Altin, A.; Wohletz, S.; Krieger, W.; Kostka, A.; Groche, P.; Erbe, A.: Nanoscale understanding of bond formation during cold welding of aluminum and steel. 6th International Conference on Tribology in Manufacturing Processes & Joining by Plastic Deformation, Darmstadt, Germany (2014)
Krieger, W.: Charakterisierung von Wasserstofffallen und deren Einfluss auf die Wasserstoffversprödung in ferritischen Stählen. Dissertation, Ruhr University Bochum, Bochum, Germany (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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
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.
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…