Wan, D.; Ma, Y.; Sun, B.; Razavi, S. M. J.; Wang, D.; Lu, X.; Song, W.: Evaluation of hydrogen effect on the fatigue crack growth behavior of medium-Mn steels via in-situ hydrogen plasma charging in an environmental scanning electron microscope. Journal of Materials Science & Technology 85, pp. 30 - 43 (2021)
Sun, B.; Ma, Y.; Vanderesse, N.; Srinivas Varanasi, R.; Song, W.; Bocher, P.; Ponge, D.; Raabe, D.: Macroscopic to nanoscopic in situ investigation on yielding mechanisms in ultrafine grained medium Mn steels: Role of the austenite-ferrite interface. Acta Materialia 178, pp. 10 - 25 (2019)
Song, W.: Characterization and simulation of bainite transformation in high carbon bearing steel 100Cr6. Dissertation, RWTH Aachen, Aachen, Germany (2014)
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…