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
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…