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Hüter, C.; Boussinot, G.; Brener, E. A.; Spatschek, R.: Solidification in syntectic and monotectic systems. Physical Review E 86 (2), pp. 021603-1 - 021603-7 (2012)
Guo, W.; Spatschek, R.; Steinbach, I.: An analytical study of the static state of multi-junctions in a multi-phase field model. Physica D 240 (4-5), pp. 382 - 388 (2011)
Hüter, C.; Boussinot, G.; Brener, E. A.; Spatschek, R. P.: Isothermal solidification in peritectic systems. In: Proceedings of the 2nd High Mangenese Steels Conference 2014 (2nd HMnS) (Eds. Bleck, W.; Raabe, D.). 2nd High Mangenese Steels Conference 2014 (2nd HMnS), Aachen, Germany, August 31, 2014 - September 04, 2014. (2014)
Fleck, M.; Brener, E. A.; Spatschek, R. P.; Eidel, B.: Elastic and plastic effects on solid-state transformations: A phase field study. International Journal of Materials Research 101 (4), pp. 462 - 466 (2010)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
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…
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…