Saood, S.; Brink, T.; Liebscher, C.; Dehm, G.: Atomic structure of [111] tilt boundaries of Al in relation to their crystallographic parameters. International Microscopy Conference 2023 (IMC-20), Busan, South Korea (2023)
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
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
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…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
In this project, links are being established between local chemical variation and the mechanical response of laser-processed metallic alloys and advanced materials.
Combining concepts of semiconductor physics and corrosion science, we develop a novel approach that allows us to perform ab initio calculations under controlled potentiostat conditions for electrochemical systems. The proposed approach can be straightforwardly applied in standard density functional theory codes.
Electron microscopes offer unique capabilities to probe materials with extremely high spatial resolution. Recent advancements in in situ platforms and electron detectors have opened novel pathways to explore local properties and the dynamic behaviour of materials.