Brink, T.; Milanese, E.; Frérot, L.; Molinari, J.-F.: Simulation of adhesive wear mechanisms at the nanoscale and an approach towards mesoscale models. MSE Congress, Darmstadt, Germany (2022)
Frommeyer, L.; Brink, T.; Dehm, G.; Liebscher, C.: Atomic scale observations of Ag segregation in a high angle grain boundary in Cu. PICO 2022, Kasteel Vaalsbroek, The Netherlands (2022)
Frommeyer, L.; Brink, T.; Freitas, R.; Frolov, T.; Dehm, G.; Liebscher, C.: Characterization of the atomic structure of grain boundary phases in pure Cu. Sixth Conference on Frontiers of Aberration Corrected Electron Microscopy PICO 2021, vitual, Kasteel Vaalsbroek, The Netherlands (2021)
Brink, T.: Thermodynamics. Lecture: Lecture on Thermodynamics, Max Planck Institut für Eisenforschung (demnächst Max Planck Institute for Sustainable Materials), 4 lectures à 2 h, Düsseldorf, Germany, May 14, 2024 - June 11, 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
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.