Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: Ab initio calculation of phase boundaries in iron along the bcc-fcc transformation path and magnetism of iron overlayers. Seminar at the Department of Materials Physics at Montan Universität Leoben, Leoben, Austria (2009)
Neugebauer, J.: Materials Design based on Ab Initio Thermodynamics: Status, Perspectives, and Trends. Colloquium Talk at Institut für Materialprüfung, Werkstoffkunde und Festigkeitslehre, Universität Stuttgart, Stuttgart, Germany (2009)
Neugebauer, J.; Grabowski, B.; Körmann, F.; Dick, A.; Hickel, T.: Ab Initio Thermodynamics: Status, applications and challenges. The second Sino-German Symposium on “Computational Thermodynamics and Kinetics and Their Applications to Solidification”, Kornelimünster/Aachen, Germany (2009)
Freysoldt, C.; Neugebauer, J.; Van de Walle, C. G.: Fully ab initio supercell corrections for charged defects. CECAM workshop "Which Electronic Structure Method for the Study of Defects?", Lausanne, Switzerland (2009)
Hickel, T.; Uijttewaal, M.; Grabowski, B.; Neugebauer, J.: First principles determination of phase transitions in magnetic shape memory alloys. 2nd Sino-German Symposium on Computational Thermodynamics and Kinetics and their Application to Solidification, Aachen, Germany (2009)
Neugebauer, J.: Computing free energy contributions of point defects. ECAM conference: Which Electronic Structure Method for the Study of Defects?, Lausanne, Switzerland (2009)
Neugebauer, J.: Materials Design Based On Ab Initio Thermodynamics And Kinetics: Present Status And Perspectives. Colloquium at Universität Gießen, Gießen, Germany (2009)
Hickel, T.; Grabowski, B.; Ismer, L.; Neugebauer, J.: Role of Atomistic Simulations in the Prediction of Thermodynamic Properties of Materials. Workshop on Multi-Scale Computational Materials Design of Structural Materials, POSCO international center, Pohang, South Korea (2009)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: A multiscale study of the Hydrogen enhanced local plasticity (HELP) mechanism. Asia Steel Conference 2009, Busan, South Korea (2009)
Dick, A.; Hickel, T.; Neugebauer, J.: First Principles Predictions of Stacking Fault Properties in FeMn Alloys. Asia Steel Conference 2009, Busan, South Korea (2009)
Neugebauer, J.: Multi-Scale Computational Materials Design of Structural Materials: First-Principles Calculations. Workshop at Pohang University of Science and Technology, Pohang, South Korea (2009)
Neugebauer, J.: Ab initio based multiscale modeling of engineering materials: From a predictive thermodynamic description to tailored mechanical properties. Asia Steel Conference, Busan, South Korea (2009)
Neugebauer, J.: Ab Initio Based Multiscale Modeling of Engineering Materials: From a Predictive Thermodynamic Description to Tailored Mechanical Properties. Colloquium at TU Bergakademie Freiberg, Freiberg, Germany (2009)
Nazarov, R.; Ismer, L.; Hickel, T.; Neugebauer, J.: Wasserstoff in X-IP Stahl (ab initio) Einfluss von Defekten auf die Energetik und Dynamik von Wasserstoff in Manganstählen. X-IP Workshop, Dortmund, Germany (2009)
Freysoldt, C.; Pfanner, G.; Neugebauer, J.: What can EPR hyperfine parameters tell about the Si dangling bond? - A theoretical viewpoint. 1st International Workshop on the Staebler-Wronski effect, Berlin, Germany (2009)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Multi-scale modeling of the phase stability of interstitial Fe-C solid solutions. Invited talk at MPI for Metal Research, Stuttgart, Germany (2009)
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) 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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…