Zhou, X.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Exploring the Relationship Between Grain Boundary Structure and Chemical Composition at the Atomic Level. International Conference on Intergranular and Interphase Boundaries in Materials (IIB 2024), Beijing, China (2024)
Zhou, X.; Wei, S.; Raabe, D.: Segregation-Driven Mechanics of White Gold at the Nanoscale: A Cursing or Blessing? Schöntal Symposium on Dislocation-based Plasticity 2024, Kloster Schöntal, Germany (2024)
Elkot, M.; Sun, B.; Zhou, X.; Ponge, D.; Raabe, D.: Grain boundary κ-carbides in high manganese lightweight steel: degradation assessment and potential solutions. 5th International High Manganese Steel Conference 2022, online, Linz, Austria (2022)
Schwarz, T.; Yang, J.; Aota, L. S.; Woods, E.; Zhou, X.; Neugebauer, J.; Todorova, M.; McCaroll, I.; Gault, B.: Analysis of the reactive solid-liquid interface during the corrosion of magnesium at the near atomic level using cryo-atom probe tomography. Aqueous Corrosion Gordon Research Conference (GRC) 2024, Corrosion Challenges and Opportunities for the Energy Transition, New London, CT, USA (2024)
Schwarz, T.; Yang, J.; Aota, L. S.; Woods, E.; Zhou, X.; Neugebauer, J.; Todorova, M.; McCaroll, I.; Gault, B.: Analysis of the reactive solid-liquid interface during the corrosion of magnesium at the near atomic level using cryo-atom probe tomography. Aqueous Corrosion Gordon Research Seminar (GRS) 2024, Corrosion Monitoring, Modelling and Mitigation Towards a Sustainable Future, New London, CT, USA (2024)
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…