Haghighat, S. M. H.; Schäublin, R.; Raabe, D.: Atomistic study of forest hardening through binary dislocation junction in bcc-iron. 2013 MRS Spring Meeting, San Francisco, CA, USA (2013)
Raabe, D.; Li, Y.; Ponge, D.; Sandlöbes, S.; Choi, P.; Hickel, T.; Kirchheim, R.; Neugebauer, J.: Transformations in Steels. German-Chinese High-level Workshop on “Microstructure-driven Design and Performance of Advanced Metals”, Institute of Metals Research (IMR) of the Chinese Academy of Science (CAS), Shenyang, China (2013)
Raabe, D.; Li, Y.; Ponge, D.; Sandlöbes, S.; Choi, P.-P.; Hickel, T.; Kirchheim, R.; Neugebauer, J.: Nanoscale Transformations in Steels. German-Chinese High-level Workshop on “Microstructure-driven Design and Performance of Advanced Metals”, Institute of Metals Research (IMR) of the Chinese Academy of Science (CAS), Shenyang, China (2013)
Enax, J.; Prymak, O.; Fabritius, H.-O.; Raabe, D.; Epple, M.: New approaches towards synthetic bio-inspired dental materials based on the characteristics of shark teeth. 9. Zsigmondy-Kolloquium der Kolloid-Gesellschaft, Essen, Germany (2013)
Roters, F.; Diehl, M.; Shanthraj, P.; Eisenlohr, P.; Raabe, D.: A spectral method solution to crystal elasto-viscoplasticity at finite strains. "Textures, Microstructures and Plastic Anisotropy, a Tribute to Paul Van Houtte", KU Leuven, Belgium (2013)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Discrete dislocation dynamics modeling of loading orientation effect on the low stress creep of single crystal Ni base superalloys. Intermetallics 2013, Bad Staffelstein, Germany (2013)
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…