Jovičević-Klug, P.; Jovičević-Klug, M.; Tegg, L.; Hester, J. R.; Čapek, J.; Polatidis, E.; Cairney, J. M.; McCord, J.; Rohwerder, M.: Operando cryogenic processing effects on residual stress and magnetism of martensitic stainless steel for energy sector. Materials today advances 31, 100895 (2026)
Vijayshankar, D.; Rohwerder, M.: Revealing the Role of Oxygen Reduction Rate and Degradation Time on the Buried Metal/Coating Interphase Delamination Behavior. Corrosion 81 (12), pp. 1145 - 1150 (2025)
Wang, L.; Sam, H. C.; Ao, M.; Rohwerder, M.; Dong, C.: The effect of austenite phase transformation on hydrogen distribution and embrittlement mechanisms of heterogeneous martensite stainless steel manufactured by laser powder bed fusion. Corrosion Science 256, 113195 (2025)
Jovičević-Klug, M.; Brondin, C. A.; Caretta, A.; Bonnekoh, C.; Gossing, F.; Vogel, A.; Rieth, M.; McCord, J.; Rohwerder, M.; Jovičević-Klug, P.: Suppression of Cr nanoclusters and enrichments in Fe–Cr based alloys with cryogenic processing for future energy sector. Journal of Materials Research and Technology 36, pp. 9262 - 9273 (2025)
Khayatan, N.; Prabhakar, J. M.; Jalilian, E.; Madelat, N.; Terryn, H.; Rohwerder, M.: On the rate determining step of cathodic delamination of delamination-resistant organic coatings. Corrosion Science 239, 112396 (2024)
Azzam, W.; Subaihi, A.; Rohwerder, M.; Bashir, A.; Terfort, A.; Zharnikov, M.: Odd-even effects in aryl-substituted alkanethiolate SAMs: nonsymmetrical attachment of aryl unit and its impact on the SAM structure. Physical Chemistry Chemical Physics 26 (9), pp. 7563 - 7572 (2024)
Ravikumar, A.; Höche, D.; Feiler, C.; Lekka, M.; Salicio-Paz, A.; Rohwerder, M.; Prabhakar, J. M.; Zheludkevich, M.: Exploring the Effect of Microstructure and Surface Recombination on Hydrogen Effusion in Zn–Ni-Coated Martensitic Steels by Advanced Computational Modeling. Steel Research International 95 (2), 2300353 (2024)
Venkatachalam, D.; Govindaraj, Y.; Prabhakar, J. M.; Ganapathi, A.; Sakairi, M.; Rohwerder, M.; Neelakantan, L.: Smart release of turmeric as a potential corrosion inhibitor from a pH-responsive polymer encapsulated highly ordered mesoporous silica containers. Surfaces and Interfaces 45, 103883 (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
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.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
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.