Liu, G.; Zhang, G.; Mokhles, M.; Jiang, J.; Wang, S.; Birosca, S.; Dehm, G.: A long-overlooked composite MC carbide structure at the atomic scale. Scripta Materialia 288, 117635 (2027)
Sahu, S.; Best, J. P.; Dehm, G.; Kanjilal, A.: Resolving room-temperature microscale fracture and plasticity of iron oxides along the iron ore reduction cascade via nanoindentation and microcantilever bending. Materials and Design 271, 117218 (2026)
Lee, J. S.; Riedel, J. L.; Schweizer, P.; Kauffmann, A.; Heilmaier, M.; Dehm, G.; Best, J. P.; Kanjilal, A.; Stein, F.: Influence of point defects on the hardness and reduced modulus of B2-ordered FeAl. Journal of Alloys and Compounds 1065, 188036 (2026)
Shen, D.; Dehm, G.: Basic concepts of grain-boundary structure and phase behavior: From theory and experiments to material properties. MRS Bulletin 51, pp. 138 - 151 (2026)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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…