Belde, M. M.; Springer, H.; Inden, G.; Raabe, D.: Multiphase microstructures via confined precipitation and dissolution of vessel phases: Example of austenite in martensitic steel. Acta Materialia 86, pp. 1 - 14 (2015)
Kuzmina, M.; Ponge, D.; Raabe, D.: Grain boundary segregation engineering and austenite reversion turn embrittlement into toughness: Example of a 9 wt.% medium Mn steel. Acta Materialia 86, pp. 182 - 192 (2015)
Ma, D.; Friák, M.; von Pezold, J.; Raabe, D.; Neugebauer, J.: Computationally efficient and quantitatively accurate multiscale simulation of solid-solution strengthening by ab initio calculation. Acta Materialia 85, pp. 53 - 66 (2015)
Tytko, D.; Choi, P.-P.; Raabe, D.: Thermal dissolution mechanisms of AlN/CrN hard coating superlattices studied by atom probe tomography and transmission electron microscopy. Acta Materialia 85, pp. 32 - 41 (2015)
Li, Y.; Ponge, D.; Choi, P.-P.; Raabe, D.: Segregation of boron at prior austenite grain boundaries in a quenched martensitic steel studied by atom probe tomography. Scripta Materialia 96, pp. 13 - 16 (2015)
Kim, J.-K.; Sandlöbes, S.; Raabe, D.: On the room temperature deformation mechanisms of a Mg–Y–Zn alloy with long period stacking ordered structures. Acta Materialia 82, pp. 414 - 423 (2015)
Springer, H.; Tasan, C. C.; Raabe, D.: A novel roll-bonding methodology for the cross-scale analysis of phase properties and interactions in multiphase structural materials. International Journal of Materials Research 106 (1), pp. 3 - 14 (2015)
Jägle, E. A.; Choi, P.-P.; Raabe, D.: The maximum separation cluster analysis algorithm for atom-probe tomography: Parameter determination and accuracy. Microscopy and Microanalysis 20 (6), pp. 1662 - 1671 (2014)
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.