Mayweg, D.; Morsdorf, L.; Li, Y.; Herbig, M.: Correlation between grain size and carbon content in white etching areas in bearings. Acta Materialia 215, 117048 (2021)
Morsdorf, L.; Mayweg, D.; Li, Y.; Diederichs, A.; Raabe, D.; Herbig, M.: Moving cracks form white etching areas during rolling contact fatigue in bearings. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 771, 138659 (2020)
Lai, M.; Li, Y.; Lillpopp, L.; Ponge, D.; Will, S.; Raabe, D.: On the origin of the improvement of shape memory effect by precipitating VC in Fe–Mn–Si-based shape memory alloys. Acta Materialia 155, pp. 222 - 235 (2018)
Li, Y.; Herbig, M.; Goto, S.; Raabe, D.: Atomic scale characterization of white etching area and its adjacent matrix in a martensitic 100Cr6 bearing steel. Materials Characterization 123, pp. 349 - 353 (2017)
Li, Y.; Herbig, M.; Goto, S.; Raabe, D.: Formation of nanosized grain structure in martensitic 100Cr6 bearing steels upon rolling contact loading studied by atom probe tomography. Materials Science and Technology 32 (11), pp. 1100 - 1105 (2016)
Li, Y.; Ponge, D.; Choi, P.-P.; Raabe, D.: Segregation of boron at prior austenite grain boundaries in a quenched martensitic steel studied by atom probe tomography. Scripta Materialia 96, pp. 13 - 16 (2015)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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