Baron, C.; Springer, H.: Property-Driven Development of Metallic Structural Materials by Combinatorial Techniques on the Example of Fe–C–Cr Steels. Steel Research International 90 (12), 1900404 (2019)
Springer, H.; Zhang, J.; Szczepaniak, A.; Belde, M. M.; Gault, B.; Raabe, D.: Light, strong and cost effective: Martensitic steels based on the Fe - Al - C system. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 762, 138088 (2019)
Baron, C.; Springer, H.; Raabe, D.: Development of high modulus steels based on the Fe – Cr – B system. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 724, pp. 142 - 147 (2018)
Aparicio-Fernández, R.; Szczepaniak, A.; Springer, H.; Raabe, D.: Crystallisation of amorphous Fe – Ti – B alloys as a design pathway for nano-structured high modulus steels. Journal of Alloys and Compounds 704, pp. 565 - 573 (2017)
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.