Neugebauer, J.: Modelling structural materials in extreme environments by ab initio guided multiscale simulations. International Workshop “Theory and Modelling of Materials in Extreme Environment", Abingdon, UK (2016)
Neugebauer, J.: Ab initio thermodynamic description of advanced structural materials: Status and challenges. Workshop “Ab-initio Based Modeling of Advanced Materials”, Yekaterinburg, Russia (2016)
Neugebauer, J.: Stahl: Wie ein alter Werkstoff sich immer wieder neu erfindet und damit Wissenschaft und Wirtschaft beflügelt. 129. Versammlung der Gesellschaft der deutschen Naturforscher und Ärzte, Greifswald, Germany (2016)
Dutta, B.; Hickel, T.; Neugebauer, J.: Intermartensitic Phase Boundaries in Ni–Mn–Ga Alloys: A Viewpoint from Ab initio Thermodynamics. 5th International Conference on Ferromagnetic Shape Memory Alloys, Sendai, Japan (2016)
Zendegani, A.; Körmann, F.; Hickel, T.; Hallstedt, B.; Neugebauer, J.: Thermodynamic properties of the quaternary Q phase in Al–Cu–Mg–Si: a combined ab-initio, phonon and compound energy formalism approach. International Conference on Advanced Materials Modelling (ICAMM), Rennes, France (2016)
Neugebauer, J.: Ab initio description of defects in materials under extreme conditions. 2016 Joint ICTP-CAS-IAEA School and Workshop on Plasma-Material Interaction in Fusion Devices, Hefei, China (2016)
Zhu, L.-F.; Grabowski, B.; Neugebauer, J.: Development of methodologies to efficiently compute melting properties fully from ab initio. 2nd German-Dutch Workshop on Computational Materials Science, Domburg, The Netherlands (2016)
Neugebauer, J.: Hydrogen embrittlement research at the MPIE (Max-Planck-Institut für Eisenforschung). SNEAC Workshop Environmental Assisted Cracking, Trondheim, Norway (2016)
Dutta, B.; Hickel, T.; Neugebauer, J.: Phase diagrams in magnetic shape memory alloys: Insights obtained from ab initio thermodynamics. The forty-fifth International Conference on Computer Coupling of Phase Diagrams and Thermochemistry, Awaji Island, Hyogo, Japan (2016)
Neugebauer, J.: Ab initio determination of lattice stabilities and comparison to CALPHAD. Plenary talk, CALPHAD XLV Conference, Awaji Island, Japan (2016)
Surendralal, S.; Todorova, M.; Neugebauer, J.: Automated calculations for charged point defects in MgO and α-Fe2O3. DPG-Frühjahrstagung 2016, Regensburg, Germany (2016)
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.
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…