Harrison, P.; Zhou, X.; Das, S. M.; Lhuissier, P.; Liebscher, C.; Herbig, M.; Ludwig, W.; Rauch, E. F.: Reconstructing dual-phase nanometer scale grains within a pearlitic steel tip in 3D through 4D-scanning precession electron diffraction tomography and automated crystal orientation mapping. Ultramicroscopy 238, 113536 (2022)
Tsai, S.-P.; Konijnenberg, P. J.; Gonzalez, I.; Hartke, S.; Griffiths, T. A.; Herbig, M.; Kawano-Miyata, K.; Taniyama, A.; Sano, N.; Zaefferer, S.: Development of a new, fully automated system for electron backscatter diffraction (EBSD)-based large volume three-dimensional microstructure mapping using serial sectioning by mechanical polishing, and its application to the analysis of special boundaries in 316L stainless steel. Review of Scientific Instruments 93, 093707 (2022)
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)
Herbig, M.; Kumar, A.: Removal of hydrocarbon contamination and oxide films from atom probe specimens. Microscopy Research and Technique 84 (2), pp. 291 - 297 (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)
Tung, P.-Y.; McEniry, E.; Herbig, M.: The role of electric current in the formation of white-etching-cracks. Philosophical Magazine 101 (1), pp. 59 - 76 (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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…