Springer, H.; Baron, C.; Tanure, L.; Rohwerder, M.: A combinatorial study of the effect of Al and Cr additions on the mechanical, physical and corrosion properties of Fe. Materials Today Communications 29, 102947 (2021)
Baron, C.; Werner, H.; Springer, H.: On the effect of carbon content and tempering on mechanical properties and stiffness of martensitic Fe–18.8Cr–1.8B–xC high modulus steels. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 809, 141000 (2021)
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)
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)
Baron, C.; Springer, H.; Raabe, D.: Combinatorial screening of the microstructure–property relationships for Fe–B–X stiff, light, strong and ductile steels. Materials and Design 112, pp. 131 - 139 (2016)
Baron, C.; Springer, H.; Raabe, D.: Effects of Mn additions on microstructure and properties of Fe–TiB2 based high modulus steels. Materials and Design 111, pp. 185 - 191 (2016)
Baron, C.; Springer, H.; Raabe, D.: Efficient liquid metallurgy synthesis of Fe–TiB2 high modulus steels via in-situ reduction of titanium oxides. Materials and Design 97, pp. 357 - 363 (2016)
Springer, H.; Aparicio-Fernández, R.; Duarte, M. J.; Zhang, H.; Baron, C.; Kostka, A.; Raabe, D.: Alloy design and processing routes for novel high modulus steels. In: PTM 2015 - Proceedings of the International Conference on Solid-Solid Phase Transformations in Inorganic Materials 2015, p. 981 (Eds. Chen, L.-Q.; Militzer, M.; Botton, G.; Howe, J.; Sinclair, C. W. et al.). International Conference on Solid-Solid Phase Transformations in Inorganic Materials 2015, PTM 2015, Whistler, BC, Canada, June 28, 2015 - July 03, 2015. PTM 2015, Whistler, British Columbia (2015)
Baron, C.; Springer, H.; Raabe, D.: Design of cost-efficient high modulus steels as innovative lightweight materials. Advanced Composite Materials Congress, Stockholm, Sweden (2018)
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.
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.