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)
Wu, X.; Mayweg, D.; Ponge, D.; Li, Z.: Microstructure and deformation behavior of two TWIP/TRIP high entropy alloys upon grain refinement. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 802, 140661 (2021)
Mayweg, D.; Morsdorf, L.; Wu, X.; Herbig, M.: The role of carbon in the white etching crack phenomenon in bearing steels. Acta Materialia 203, 116480 (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)
Morsdorf, L.; Mayweg, D.; Li, Y.; Diederichs, A.; Raabe, D.; Herbig, M.: Moving cracks and missing C atoms – chasing the mysteries of white etching areas in bearings. 2nd meeting of "Metallurgical Metallurgy for Plasticity-driven Damage and Fracture" research forum 2021 (ISIJ), virtual (2021)
Qin, Y.; Mayweg, D.; Tung, P.-Y.; Pippan, R.; Herbig, M.: Mechanism of cementite decomposition in 100Cr6 bearing steels during high pressure torsion. MSE Congress 2020, virtual, Sankt Augustin, Germany (2020)
Mayweg, D.; Morsdorf, L.; Wu, X.; Herbig, M.: The role of carbon in the white etching crack phenomenon in bearing steels. MSE Congress 2020, virtual, Sankt Augustin, Germany (2020)
Mayweg, D.: Microstructural characterization of white etching cracks in 100Cr6 bearing steel with emphasis on the role of carbon. Dissertation, RWTH Aachen University (2021)
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…