Chung, H.; Kim, D. W.; Cho, W. J.; Han, H. N.; Ikeda, Y.; Ishibashi, S.; Körmann, F.; Sohn, S. S.: Effect of solid-solution strengthening on deformation mechanisms and strain hardening in medium-entropy V1-xCrxCoNi alloys. Journal of Materials Science & Technology 108, pp. 270 - 280 (2022)
Yang, D.-C.; Jo, Y.-H.; Ikeda, Y.; Körmann, F.; Sohn, S. S.: Effects of cryogenic temperature on tensile and impact properties in a medium-entropy VCoNi alloy. Journal of Materials Science & Technology 90, pp. 159 - 167 (2021)
Ikeda, Y.; Körmann, F.: Impact of N on the Stacking Fault Energy and Phase Stability of FCC CrMnFeCoNi: An Ab Initio Study. Journal of Phase Equilibria 42, pp. 551 - 560 (2021)
Ikeda, Y.; Tanaka, I.; Neugebauer, J.; Körmann, F.: Impact of interstitial C on phase stability and stacking-fault energy of the CrMnFeCoNi high-entropy alloy. Physical Review Materials 3 (11), 113603 (2019)
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
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…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
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.