Frenznick, S.: In-situ Untersuchungen zu Benetzungsverhalten und Grenzflächenreaktionen beim Feuerverzinken legierter Stähle. Dissertation, Ruhr-Universität-Bochum, Fakultät für Maschinenbau, Bochum, Germany (2009)
Walczak (vorm. Stempniewicz), M.: Release Studies on Mesoporous Microcapsules for New Corrosion Protection Systems. Dissertation, Ruhr-Universität, Fakultät für Maschinenbau, Institut für Werkstoffe, Bochum, Germany (2007)
Rohwerder, M.: Wasserstoff in Metallen: neue Messverfahren zum Nachweis mit hoher räumlicher Auflösung. Habilitation, Ruhr-Universität Bochum, Bochum, Germany (2016)
Rohwerder, M.; Vogerl, A.; Jarosik, A.; Muhr, A.; Norden, M.; Bordignon, M.; Vanden Eynde, X.: Novel Annealing Procedures for Improving Hot Dip Galvanizing of High Strength Steels. (2010)
Rohwerder, M.; Allély, K. O.; Bendick, M.; Altgassen, C.; Conejero, O.; Tomandl, A.; Fernandes, J. S.; Simoes, A.; Chassagne, J.: Self-Healing at Cut-Edge of Coil Coated Galvanized Steel. (2009)
Hübel, K.; Rohwerder, M.; Scheu, C.; Todorova, M.: Organizer of the workshop “Status and Future Challenges in Characterisation of Interfaces for Electrochemical Applications - Part 1” at the MPIE. (2016)
Rohwerder, M.: Symposium X1 - Electron Transfer Reactions at Organic/Metal Interfaces: From Molecular Monolayer Modified Electrodes to Buried Polymer Metal Interfaces. (2006)
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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due 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…
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…