Dehm, G.; Liebscher, C.; Völker, B.; Scheu, C.: Organizer of the “IAMNano 2019 Düsseldorf” - International Workshop on Advanced In Situ Microscopies of Functional Nanomaterials and Devices. (2019)
Dehm, G.: Organizer of Mechanical Properties and Adhesion” 46th International Conference on Metallurgical Coatings & Thin Films (ICMCTF) 2019. (accepted)
Dehm, G.; Molina-Aldareguía, J. M.; Monclús, M.: Mini-symposium “Experimental Micromechanics and Nanomechanics” at the 10th European Solid Mechanics Conference (ESMC2018) (Organization). (2018)
Dehm, G.: Co-organizer of the Symposium - In situ Microscopy with Electrons, X-Rays and Scanning Probes in Materials Science at DPG Spring Meeting 2016. (2016)
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
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
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.