Nazarov, R.; Hickel, T.; Neugebauer, J.: Influence of alloying elements on solubility and diffusivity of H in different steel phases. HYDRAMYCROS Workshop, Ghent, Belgium (2012)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: Towards an ab-initio based understanding of H-embrittlement: An atomistic study of the HELP mechanism. Joint Hydrogenius and ICNER International Workshop on Hydrogen-Materials Interactions, Kyushu, Japan (2012)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: The dangling-bond defect in amorphous silicon: Insights from ab initio calculations of EPR parameters. 1st Austrian-German workshop on computational materials design, Kramsach, Austria (2012)
Aydin, U.; Hickel, T.; Neugebauer, J.: Solution enthalpy of hydrogen in 3d transition metals and neighboring elements. 1st Austrian/German Workshop on Computational Materials Design, Kramsach, Austria (2012)
Bleskov, I.; Hickel, T.; Neugebauer, J.: Ab initio investigation of the stacking fault in Fe-based alloys. 1st Austrian-German workshop on Computational Materials Design, Kramsach, Austria (2012)
Izanlou, A.; Todorova, M.; Friák, M.; Neugebauer, J.: Ab initio study of stability of Fe3Al surfaces in contact with an oxygen atmosphere. 1st Austrian/German Workshop on Computational Materials Design, Kramsach, Austria (2012)
Lange, B.; Freysoldt, C.; Neugebauer, J.: Point-defect energetics from LDA, PBE, and HSE: Different functionals, different energetics? 1.st Austrian/German Workshop on Computational Materials Design, Kramsach, Tyrol, Austria (2012)
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
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…