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
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…